ChapterPDF Available

The Role of Nonverbal Communication in Interpersonal Relations

Authors:

Abstract

Nonverbal communication is an essential but sometimes overlooked dimension of interpersonal relations. Crucial information related to power, deception, emotion, attraction, and relationship outcome is exchanged in personal and, increasingly, computer-mediated interactions through multiple channels (gaze, facial movements, gesture, interpersonal distance, etc.) in multiple social contexts. Complicating matters, this information often is sent differently by individuals who differ in gender, personality, culture, status, legibility (of senders), and decoding ability (of receivers). Complementing several current theories of nonverbal communication, a modern version of Brunswik's lens model is offered as a general framework for understanding accurate and inaccurate inferences from nonverbal cues as people navigate their new, continuing, and concluding relationships.
Gifford - 1
The Role of Nonverbal Communication in Interpersonal Relations
Robert Gifford
University of Victoria
Address correspondence to:
Robert Gifford, Ph.D.
Department of Psychology
University of Victoria
Victoria, BC V8W 3P5
CANADA
(250) 721-7532
(250) 721-8929 FAX
rgifford@uvic.ca
December 12, 2009
Gifford - 2
Imagine, for a moment, interpersonal relations without nonverbal behavior. A first
scenario might feature two immobile people who are conversing: no expressive movements.
However, their frozen postures, clothing, and interpersonal distance would, nevertheless, be
nonverbally communicative. To remove those cues, they could be placed in separate rooms, so
that they communicate by phone only. However, their paraverbal behavior (style of speaking,
such as vocal intensity, tone, rhythm, and pitch; Trager, 1958) would still convey messages
beyond the content of the words they use. To expunge these paraverbal cues, the two people
would have to be restricted to typing out messages.1 Although this sort of interpersonal
interaction exists, and in fact is increasingly frequent with the advent of computer-mediated
communication (e.g., email, texting, and social networking), all our other interpersonal
interactions are informationally rich from a myriad of gesture, posture, glance, gaze, expression,
distance, tone, clothing, and grooming cues. Face-to-face nonverbal communication consists of
complex sequences in which a huge number of events are constantly occurring and recurring
(Agliati, Vescovo, & Anolli, 2006), and therefore poses an enormous challenge for behavioral
scientists.
Nonverbal communication is an essential part of interpersonal psychology, perhaps
more essential than is generally recognized. Although the following estimates apply only to the
expression of emotion or liking rather than all interpersonal communication, researchers have
reported that nonverbal and paraverbal messages are about 4 times more influential than verbal
messages (Argyle et al., 1970; Hsee, Hatfield, & Carlson, & Chemtob, 1992), or that they
account for 93% of inferred meaning (e.g., Mehrabian & Weiner, 1967). Even if these estimates
are too high, nonverbal aspects of interpersonal communication clearly are crucial for
1 In fact, even in these typing-only circumstances, senders often use emoticons (symbolic
smiles, frowns, winks, etc.) to increase the odds that receivers correctly understand their
meaning.
Gifford - 3
understanding interpersonal relations.
Nonverbal behavior communicates messages between persons. This
communication includes dynamic movements, static appearance-related choices of clothing and
grooming, and paraverbal acts by senders and impressions of those actions and choices formed
by receivers. The sender’s messages may be intended or not, received or not, and interpreted
as having been intended or not. They are sent via numerous channels, forcefully or subtly.
Some nonverbal messages are universal, or nearly so, and others are specific to particular
cultures, subcultures, or intimates. Nonverbal communication is a very complex, essential part
of interpersonal relations, and it serves a number of important psychological functions.
However, a simple initial framework for thinking about it is depicted in the following diagram,
which presents nonverbal communication as a special case of a classic communication model
(Hovland & Janis, 1959), in which one person sends a message (intended or not) to another
person via one medium or another (e.g., face-to-face or video), which stimulates a response
from the receiver which reaches the sender, and the process continues.
Sender Message Medium Receiver
Feedback
This chapter will begin with a brief history of research in the area, followed by a brief
discussion of the original influence on nonverbal communication, evolution. Next, modern social
psychological theories of it and research methods are described, with a special emphasis on
current adaptations of Brunswik’s (1956) lens model, a very useful framework for understanding
the process. Nonverbal communication’s complexity means that studying it has many pitfalls,
and a section is devoted to cautionary notes for researchers and readers. We communicate
nonverbally in a variety of contexts, including everyday interpersonal relations, but also where
power and deception are involved and, increasingly, we must consider computer-mediated
nonverbal communication. Finally, a brief review of nonverbal communication as a way to
Gifford - 4
predict the eventual outcomes of relationships is offered.
.
A Brief History
Although a number of fairly simple studies were conducted in the early part of the 20th
century (e.g., Pintner, 1918), the first important scientific study that is pertinent here was that of
Allport and Vernon (1933), who sought to find unity (or something close to it) among the
expressive movements of their subjects. Their hypothesis, which appears to have been rooted
in the Aristotelian proposition that one’s whole body and personality are a kind of unity in which
every aspect is mirrored in every other aspect. This view was championed by German
psychologists such as William Stern (1935), who profoundly influenced Allport. Their results
showed promise, in that two clusters of expressive movements, one ―general‖ and one
―specific,‖ were found, albeit with lower-than-desirable reliability.
Allport and Vernon’s book did not stimulate much new published research over the next
three decades; only a few scattered studies may be found from the 1930s until the early 1960s.
Perhaps the first modern study of interest was Exline’s (1963) investigation of visual interaction
in groups of men and groups of women who had been categorized in terms of their need for
affiliation. He found that need for affiliation was related to mutual glances, but differently for men
and women. Exline’s study had the further distinction of recognizing that nonverbal behavior
should be examined within interacting groups, rather than implicitly assuming that people
express themselves nonverbally without reference to others, that is, always in the same way.
Evolutionary Bases of Nonverbal Communication
Darwin (1872/1998) proposed in Expression of the Emotions in Man and Animals that
nonverbal expressive displays evolved to signal the sender’s motivations and emotions to
others. Although this idea is very plausible, particularly for other animals’ displays, it has been
challenged in the case of humans by Hauser (1996), who countered that senders who
Gifford - 5
communicate their true state are at an evolutionary disadvantage; Hauser suggested that true
displays leave the sender vulnerable to exploitation by the receiver. This view, consistent with
Dawkins’ (1989) selfish gene theory, asserts that displays are designed to deceive and
manipulate the receiver. In turn, the receiver, it is said, attempts to decode the sender’s true
motivational state, and thus social interaction proceeds as a kind of war of interpretation and
impression management. Others have offered a more complex compromise: dishonest displays
are more likely when the sender does not trust the receiver, and honest displays are more likely
when the sender trusts the receiver (e.g., Boone & Buck, 2003).
Social Psychological Theories of Nonverbal Communication
Theoretical approaches from social psychologists began with simple one-channel
studies. Fifty years ago Robert Sommer (1959) investigated interpersonal distance as a form of
nonverbal communication, one that presumably balanced too-close with too-far, an idea also
discussed by Hall (1959). A few years later, the very influential equilibrium theory expressed by
Argyle and Dean (1965) proposed that people seek such a balance across several ―channels‖
(physical distance, gaze, smiling, as well as a verbal dimension, topic intimacy), rather than any
single channel. Their theory suggested, for example, that if two people were forced closer
together than they would prefer (for example, in an elevator), that they would compensate by
increasing interpersonal ―distance‖ in another channel, such as by gazing less at one another.
Theory next developed, in the 1970s, to explain the bases for these equilibratory
adjustments. Several of these formulations focused on arousal as the psychological basis for
the adjustments (Andersen, 1985; Burgoon, 1978; Cappella & Greene, 1982). In Patterson’s
(1976) original version of this approach, arousal-labeling theory, a move ―closer‖ to the other
person (receiver) in any of the channels causes that person to label the arousal, for example, as
positive if the receiver is attracted to the sender (which tends to lead to a reciprocation of the
adjustment toward closer) or negative (which tends to lead to the receiver re-setting the
distance to the equilibrium, or even increasing the distance). In a similar vein, Mehrabian and
Gifford - 6
Diamond (1971) viewed these nonverbal adjustments as ways to vary interpersonal immediacy.
In the next theoretical development, Patterson (1982) proposed his functional
perspective. The essence of the functional approach is that nonverbal behavior serves a variety
of social purposes. Nonverbal behavior was now seen as not merely reactive (to the sender’s
moves), but could also involve the initiation of movement or expression on the part of the sender
to serve a social goal. Sometimes these actions do not reflect the sender’s emotions and
attitudes, but reflect a goal that is inconsistent with them, such as obtaining the compliance of
receiver, or deceiving them, or creating a desired impression (Patterson, 1991). Nonverbal
behavior can and often does serve to communicate one’s social role in a social interaction, to
manage one’s presentation of self to others, to signal rapport or the lack of it, to express
emotion, to reveal one’s personality, and to indicate whether or not one is telling the truth. Some
of these functions are more, and some less, under the sender’s control (e.g., Choi et al., 2005).
As theory in the area matured further, these ideas were expanded into interaction
adaptation theory (Burgoon et al., 1998). Functionality is seen in this approach as consisting of
three sorts: required, expected, and desired. Required functionality refers to biological drives
and imperatives that may operate outside of consciousness. Expected functionality reflects
norms and typical behavior for the context and culture. Desired functionality reflects such
idiosyncratic influences as personality, attitudes, and moods. Together, these are said to
comprise the person’s interaction position—the averaged or main thrust of the sender’s
nonverbal predisposition in a given situation and with a specific receiver. The dynamics of the
interpersonal exchange are posited to be the result of sender’s interaction position and the
receiver’s behavioral response to it. Like each succeeding approach, interaction adaptation
theory presumably was intended to incorporate and supercede the previous equilibrium,
arousal, and functional approaches.
The other contemporary development is parallel processing theory (Patterson, 1995),
which proposes that nonverbal interaction is not merely about behavior, but requires
Gifford - 7
understanding the social cognitive judgment processes involved. The latter are often automatic
or overlearned, but sometimes under control and in the service of a particular goal. Interactants
not only send (encode), they receive (decode), and Patterson believes that decoding has been
underemphasized in earlier theories. Plausible and seemingly complete as parallel processing
theory is, it is complex (as is interaction adaptation theory) and both theories have become
difficult to properly test. As theory in the area struggles to capture the multidimensional nature of
nonverbal interaction in context, it tends to become more descriptive than testable.
Research Methods
Nonverbal researchers may focus on (a) the interpersonal, organizational, or cultural
context of the interaction, (b) the personal qualities, strategies, or background of the sender, the
receiver, or both, (c) the dynamic or static nonverbal cues displayed by the sender, (d) the
receiver’s interpretations of those cues, and (e) the receiver’s dynamic or static responses. Of
course, receivers become senders, and the process is a dynamic interaction that unfolds over
time. Most studies focus on one slice or aspect of the full process, usually the receiver’s
impressions of the sender, who is presented in different channels (e.g., silent video versus video
with sound, e.g., Hall & Schmid Mast, 2007), or with different alleged qualities (e.g., in a
relationship or not, e.g., Parker & Burkley, 2009),
Studies of nonverbal communication in the interpersonal context typically have focused
on liking or attraction, usually between strangers, to control for the influence of pre-existing
interactions (e.g., Mehrabian & Weiner, 1971). Organizational contexts have often included job
interviews (e.g., Gifford, Ng, & Wilkinson, 1985). Cultural studies have often investigated
presumed similarities or universalities in the meaning of cues such as facial expressions (e.g.,
Ekman & Friesen, 1971) or the lack thereof. The qualities of the sender and receiver typically
include attractiveness, intelligence, personality, culture, race, formal status, relationship status,
social class, and stigma.
Presenting the sender. The typical ways that senders have been presented to receivers
Gifford - 8
include photographs, video clips, vocal clips, and in vivo, with or without role-playing. This
choice must be made carefully, because no presentation technique is universally appropriate or
infallible (Gray & Ambady, 2006). The sender has been presented in very brief ―slices‖ of time
(e.g., Ambady &Rosenthal, 1993) and at length.
Measuring the sender’s cues. Much effort has been expended creating scoring systems
for nonverbal behavior. Ekman and Friesen’s (1978) Facial Action Coding System (FACS) is the
best-known of these, although others exist [e.g., The Maximally Descriptive Facial Movement
Coding System, Izard (1979) and the Pride Coding System, Tracy & Robins, (2007)]. Others
have created systems that assess the whole body’s dynamic movements and static cues (e.g.,
Birdwhistell, 1952) and the Seated Kinesic Activity Notation System (SKANS 5.2), in which 38
kinesic and facial behaviors are measured in one of three ways: frequency, duration, or time-
sampling (Gifford, 1994b), and numerous other systems exist (see Riggio, 2006).
A framework for understanding the process. For experimental-theoretical and efficiency
reasons, researchers usually focus on slices of the many possibilities. No study can include all
the potential influences, but perhaps the best framework for including at least selected elements
of the full process is that envisioned by Brunswik as early as the mid-1940s, but best described
in the posthumous book assembled by his colleagues (Brunswik, 1956, pp. 26-29). His lens
model is a seemingly simple overview of the whole nonverbal communication process but, once
delved into emerges as one rich with possibility and complexity (e.g., Hammond, 1955;
Hoffman, 1960; Wiggins, 1973; also see Leising & Borkenau, this volume). Those who have
attempted to further develop and use the full lens model, that is, by measuring the sender’s
background and qualities, the sender’s cues, the receiver’s background and qualities, and the
accuracy or lack of it on the receiver’s part, find it rewarding (e.g., Bernieri & Gillis, 2001;
Borkenau & Liebler, 1992; Gifford, 1994a; Gifford, Ng, & Wilkinson, 1985; Scherer, 1978).
Because it may be the best (if labor-intensive) overall framework for investigating nonverbal
communication, the lens model, its advantages and its challenges, will be described in more
Gifford - 9
detail, beginning with its main elements.
The paradigm’s structure is an adaptation of Brunswik’s (1956) lens model (Figure 1).
Encoding (or what Brunswik called ecological validity) is represented by the lines connecting
sender qualities to nonverbal behavior. Encoding occurs when reliable sender assessments
significantly correlate with the sender’s reliably-scored nonverbal behaviors. Decoding (or what
Brunswik called cue utilization) is represented by the lines connecting nonverbal behavior and
impression formation on the part of the observers; it occurs when reliable receiver assessments
are correlated with reliably scored sender nonverbal behaviors. The curved line linking the
ratings of the actors’ dispositions with the observers’ ratings of those dispositions represents
what Brunswik (1956) called achievement, or what is sometimes called agreement or accuracy.
The large oval signifies the social and cultural context in which the interaction process unfolds.
Encoding and decoding are influenced by the context in which they occur. What transpires in a
hallway conversation probably does not flow the same way as during a romantic evening, a
business discussion, a criminal interrogation, or in interactions in different cultures.
A primary principle is that the personal qualities of senders should be investigated in
contexts in which they may reasonably be expected to manifest themselves or to be salient.
Sociability should be investigated in a context that permits or encourages it. Dominance should
be investigated in a setting that permits or encourages it (but does not force it, because then
nonverbal behaviors associated with it might involve self-conscious acting on the part of the
sender, perhaps borrowed from some film or television show, that does not reflect the palette of
natural dominance behavior.
The goal on the left half of the lens is to determine which nonverbal behaviors actually
encode the sender’s interpersonal-related quality of interest, and the goal on the right side of the
lens is to determine which nonverbal behaviors are believed by receivers to be cues that reveal
the quality. This distinction follows from Brunswik’s original labels for the two sides of the lens
model: ecological validity (left half) and cue utilization (right half). Thus, encoding is the
Gifford - 10
outward, objective, visible manifestation of a sender’s personal quality that is presumed to be, or
to relate to, some aspect or quality of interpersonal relations. The fundamental hypothesis of
lens model researchers is that valid encoding does occur or, alternatively, that predictable
failures of encoding occur (e.g., in studies of bias or stereotyping).
Decoding is the use by receivers of nonverbal behavior to infer these aspects of
interpersonal relations in the sender. It certainly occurs; the two interesting questions concern
(a) its accuracy, by different kinds of receivers for different aspects of interpersonal relations in
different conditions, and (b) the nature of systematic errors in decoding, which may signal bias
or stereotyping. Achievement is the degree of connection between encoding and decoding.
How, and equally or even more importantly, why is the receiver correct or incorrect about the
sender’s true interpersonal feelings, intentions, or motivations?
The study of achievement is challenged in two important and related ways: (1) the
validity of the measures of the sender’s qualities (e.g., emotion, motivation, attraction, intention,
personality) themselves, and (2) the accuracy of receivers as they employ nonverbal cues to
decode these qualities in others. These measures usually are self-reported by the sender or
rated by others who know the sender well. However, important problems with both sorts of
measures have been identified (cf. Funder, 2003; Kenny, 1994). Nevertheless, many
researchers seem to assume that sender measures are valid. Sometimes this presumption is
defensible (e.g., that the sender is lying or not, because this is an experimental manipulation),
and sometimes it is worthy of question (e.g., the sender’s motivation or attractiveness).
Because they can be multiple, and thus have a natural psychometric edge, ratings of the
sender’s qualities by several significant others may be the least-worst approach to the validity
problem when the criterion does not have an objective or experimental-manipulation basis. The
second main problem with achievement is, as its definition implies: That receivers may or may
not accurately decode the (true) level of the sender's interpersonal qualities from the sender's
nonverbal behavior.
Gifford - 11
However, even if accuracy is low for these reasons, or not examined at all, decoding can
be important, depending on the study’s purpose. Receivers’ assessments have inherent value
as their view of senders’ qualities, whether correct or not, as explanations of receivers’
subsequent actions or attitudes toward the sender (e.g., Carney, Hall, & LeBeau, 2005).
Achievement can be enhanced or compromised depending on the mode in which the
sender is presented. For example, decoders in an interview study saw either a silent videotape
of an interview with a manager (that is, only the nonverbal behavior), or read a transcript of the
same interview (thus, no nonverbal behavior) (Motowidlo, Burnett, Maczynski, & Witkowski,
1996). Decoders agreed well among themselves in their assessments of two encoder
dispositions within each mode of presentation, but the correlations between the assessments of
the two dispositions across the two conditions were r = .27 and r = .30; that is, they shared
about nine percent of their variance. Given this low level of agreement between the
assessments made in the two conditions, the decodings cannot both have been accurate.
How Encoding and Decoding are Related
In a full lens model, the relations between encoding and decoding fall into two
categories, each with two forms. First, matched links may be identified. One form of matched
link occurs when a nonverbal behavior significantly encodes self assessments and is also used
to a significant degree by receivers to decode or infer that self assessment. Another form of
matched link occurs when a link is significant on neither side of the lens: Receivers are saying
that a given behavior does not encode a given sender quality and, based on the self
assessments, it does not.
Second, mismatched links may be identified. One form of mismatched link occurs when
a nonverbal behavior does encode a self-assessed sender quality, but receivers do not utilize
that cue. The other form of mismatched link occurs when receivers utilize a particular nonverbal
cue to form their impression, but that cue does not encode that sender quality.
Achievement is greater, in general, when there are more matched links. The existence of
Gifford - 12
matched links, with their lines going from the sender quality to a behavior and from the behavior
to the receiver's assessment clearly suggests that agreement increases when information
―flows‖ via such matched links. Conversely, agreement is lower when many mismatched links
occur. When information does not flow, either encoding has not occurred (no behaviors
measured encode the sender quality) or the receiver has used cues other than those that the
encoding analysis suggests are valid indicators of the sender’s quality.
Depending on the magnitudes of these links, which are discussed below, the findings in
lens model studies show exactly how information appears to flow from the sender to the
receiver. Its beauty and utility are that it shows precisely how a quality of the sender is reflected
(or not) in nonverbal behavior and how receivers infer (and mis-infer) that quality. Receivers
may utilize ―power codes‖ (Carney, Hall, & LeBeau, 2005; Schwartz, Tesser, & Powell, 1982),
and postures may have shared meaning for receivers (Kudoh & Matsumoto, 1985). However,
this does not necessarily mean that the sender’s dominance is encoded by this same set of
acts; it merely means that receivers believe that it is. In an early study, personnel managers
were quite confident that job application photographs revealed the applicants’ character (Viteles
& Smith, 1932). Receivers’ inferences may be reliable, which suggests accuracy, but they often
correlate sporadically or not at all with senders’ cues (e.g., Cleeton & Knight, 1924). Decoding
studies report that ―high-persuasive‖ nonverbal behavior patterns in senders (direct gaze, more
gestures, fewer self-touches) are decoded as more assertive, forceful, powerful, and intelligent
(Hart & Morry, 1997).
However, are these accurate assessments of sender qualities or mere ―decoding errors‖
(Bull, 1983)? Observers appear to decode confidently and with greater consensus (Gifford,
1994a; Lippa & Dietz, 2000), but the evidence that they do so accurately is mixed or even
discouraging, as shown for example by Cleeton and Knight’s study. On the positive side, some
research shows that, if one is willing to define accuracy as agreement between receiver
assessments with sender self-assessments, then removing nonverbal behavior from a job
Gifford - 13
interview (by conducting it by telephone, as opposed to in person) reduces accuracy (Blackman,
2002). Thus, nonverbal behavior certainly can contribute to accurate judgments. Again, lens
model studies would enhance understanding of the full nonverbal communication process,
including claims about accuracy or achievement.
Let us consider a concrete example. Gifford (1994a) used the lens model to identify
nonverbal behaviors that (a) were valid indicators of particular interpersonal dispositions and (b)
were correctly utilized by receivers, thereby forming matched links. In his study, unacquainted
students conversed with each other in groups of three. Often, however, encoding and decoding
do not result in optimal communication. The encoding and decoding of ambitiousness-
dominance, for example, seems to involve largely different nonverbal acts (Gifford, 1994a). In
the sample of behaviors examined, it was encoded by 4 acts, but receivers appear to have
believed in a ―power code‖ that included 10 acts. Only two acts were used in both encoding and
decoding. Achievement depends on the receivers' appropriate use of ecologically valid cues.
For example, the receivers believed that 14 nonverbal cues were good indicators of sender
cold-quarrelsomeness, but not one of the 14 cues encoded self-rated cold-quarrelsomeness
(Gifford, 1994a). Thus, achievement depends heavily on the receiver’s use of appropriate
nonverbal cues (i.e., those that actually encode the sender’s qualities). "Dis-agreement" occurs
when observers use inappropriate cues.
The strength of encoding and decoding. The magnitude of encoding and decoding is
computed as the multiple correlation and percent of variance in each quality accounted for by
the nonverbal behaviors. One general tendency is that decoding is stronger than encoding.
Many more significant decoding links than encoding links typically are found (e.g., Borkenau
and Liebler, 1992; Hall, Coats, & LeBeau, 2005). Despite this, decoding by individuals actually
may not be much stronger than encoding. Decoding is usually based on ratings by multiple
raters because multiple ratings almost necessarily increase the reliability of ratings. When
ratings are more reliable, correlations involving them are stronger because less error is
Gifford - 14
involved. Stronger correlations are more likely to be statistically significant. Analyses in one
study that corrected for attenuation and estimated the reliability of single judges (Gifford,
1994a), showed that one typical decoding link shrank from r = -.58 to -.35. The matched
encoding link for this decoding link was r = -.29, not much less than r = -.35. Thus, observers as
a group decode strongly, but researchers who wish to generalize to typical individual observers,
would conclude that decoding is not particularly reliable, and this would attenuate the seemingly
large magnitude of decoding.
Whether researchers examine population or individual group decoding depends on the
study’s purpose. If it is to understand how observers (in general, nomothetically) decode, one
would use the full observer sample; if it is to estimate the decoding skill of a single "typical"
observer, the attenuation approach should be used, and if the goal is to understand how one
particular observer decodes (for example, a clinician in training), one could study decoding with
an n of 1. The question for the researcher is, do I wish to learn how and how well observers in
general decode, how and how well a typical single observer (e.g., a typical human resource
officer in a large organization) decodes, or how and how well this observer (for example, a
person applying for a job as a human resource officer) decodes?
Potential outcomes of lens model studies. What are the generic potential outcomes of
studies that use this paradigm? The first assumption is that all the judgments (e.g., self- and
significant-other ratings, behavior scoring by independent raters, and receiver ratings) are
reliable; any that are not cannot be used with any pretence of validity. In general, encoding,
decoding, and achievement may be weak or strong for any sender quality, and the pattern of
results probably will be different for each sender quality.
The first type of potential outcome occurs when, for a given quality, encoding, decoding,
and achievement are all weak. In this case, (1) the sender’s quality is not consistently reflected
in his or her nonverbal behavior (at least not in the behaviors studied), (2) receivers do not use
this set of behavior cues to arrive at their inferences, and (3) receiver inferences do not agree
Gifford - 15
with the self- or significant-other assessments of the sender.
Second, if decoding is strong but encoding is weak, receivers apparently are employing
invalid stereotypes. Achievement should be weak in such a case, because there are no true
relations between the sender’s quality and nonverbal behavior for receivers to validly decode.
Third, if strong encoding but weak decoding is found, receivers are unable to deduce
correctly which nonverbal cues reflect the sender’s quality. The potential for strong agreement is
present but unrealized.
Fourth, if achievement is strong but both encoding and decoding are weak, receivers
must be using nonverbal behaviors for decoding that the researcher has not measured. Some
nonverbal cue or other must have been providing valid information about the sender’s quality, or
strong achievement would not be possible. The researcher must explore the receiver’s
impression formation process, perhaps through interviews with them, to learn which unstudied
nonverbal cues they might have been using to succeed in matching the assessments of the
senders.
Fifth, if weak encoding and high agreement are found, receivers again must be using
valid but unmeasured nonverbal cues, unless the receivers are clairvoyant (Reichenbach,
1938). As Wiggins (1973, p. 159) wryly noted, "(s)uch a possibility is assigned rather low priority
as a contemporary scientific explanation." This is a case in which researchers must re-think their
choice of cues, seeking other ones that do encode the sender’s quality. Again, this might be
accomplished by asking receivers to reflect on their inferences: what was it about the senders’
actions that caused you to assess them as you did?
Finally, if strong encoding, strong decoding, and strong agreement are found, one may
conclude that the whole process is working as researchers in this area dream, and they may be
able to supply a satisfying account of the nonverbal inference process. A sober second thought,
however, is that senders (or their intimates) and receivers might be agreeing on an inaccurate
view of the sender’s quality, something akin to a folie à deux. A more likely interpretation is that
Gifford - 16
the strong mediation of objective nonverbal behaviors, reliably assessed by independent raters,
would be substantial evidence that the receivers’ decoding is valid, given that they have been
demonstrated to rely on the same objective (visible) aspects of reality as encoding.
Ten Troublesome Complexities
Many studies have not adequately dealt with all the difficulties inherent in this area of
research; to learn how nonverbal behavior truly illuminates the nature of interpersonal
interaction, researchers must grapple with at least ten design and analysis complexities (Gifford,
2006). By "complexity" is meant a Type I or Type II error in interpreting the relations between
nonverbal behavior and the target aspect of interpersonal interaction that may occur if the study
fails to take into account one or more of the accuracy or agreement issues.
Some of these complexities are familiar and some less so; some are easier to manage
than others. They are that (1) true encoding can be obscured through the use of unreliable
measures, (2) encoding should be studied in a context in which the dimension of interpersonal
interaction of interest is salient, (3) others involved in the interaction might influence an
individual's encoding, (4) encoding might occur differently when a person is engaged in different
activities or purposes, (5) encoding may depend on who (e.g., self or significant others)
assesses the dimension of interpersonal interaction of interest, (6) nonverbal behavior may
encode combinations of these dimensions without encoding that combination’s constituent
dimensions, (7) combinations of nonverbal behaviors may encode a dimension of interpersonal
interaction of interest without the individual behaviors doing so, (8) encoding may depend on the
gender composition of the group, (9) encoding sometimes differs for male and female
individuals, and (10) cultural groups vary in their encoding patterns.
The lens model to the rescue. The lens model paradigm deals with the crucial accuracy
problems in the most useful way. Its essential feature is that encoding and decoding both are
included in the same study. Most studies examine either encoding or decoding, which disallows
the possibility of understanding the relations between the two processes, or compare sender
Gifford - 17
and receiver ratings without investigating the intervening nonverbal behavior. For example, one
study showed that self and acquainted observer ratings were more highly correlated than self
and unacquainted observer ratings, but the behavioral cues on which the ratings were based
were not measured (Funder & Colvin, 1988). Watson (1989) noticed this gap and called for
studies of judgments that also include behavioral cues. Nevertheless, ―cueless‖ studies are still
reported. For example, ―sociable‖ actors were found to be more legible (that is, easier to "read"
or accurately decode) than less-sociable actors, based on actor-observer agreement, but the
pathways or mediating behaviors underlying this phenomenon were not examined (e.g.,
Ambady, Hallahan, & Rosenthal, 1995). A few years later, these results were replicated, and
many potential mediating cues were investigated. Extraverts used more energetic gestures,
kept their hands farther from their bodies, and changed their facial expression more than
introverts (Lippa, 1998).
The full lens model paradigm includes the following elements: reliably-measured sender
qualities that are investigated within the context to which they apply, and three independent
groups of raters are used: (1) senders’ self-rated qualities or raters who know the sender well,
(2) raters trained in a carefully developed nonverbal behavior scoring system, and (3) observer-
raters, who are unacquainted typically with the actors, so that their ratings are not influenced by
previous personal experience with the actor. A full lens study investigates all three processes,
and the relative strengths of encoding, decoding, and agreement, and to take the context into
account in order to provide some understanding of how nonverbal behavior communicates (and
mis-communicates). Some notable exceptions include those by Borkenau and Liebler (1992)
and Lippa (1998).
Which receivers? The paradigm can be employed to understand the cue-utilization
policies either of individual or aggregate receivers. Some early studies focused on individual
abilities, such as those of clinicians (e.g., Hoffman, 1960) and found that their judgments, as
revealed through their use of cues, does not match well with their own impressions of how they
Gifford - 18
use those cues. Later, the individual-level focused on the differential sensitivity of individual
receivers (e.g., Rosenthal, 1979). When the researcher has more aggregate, nomothetic goals
(―How does this receiver population decode?), the ratings of a sample of receivers are used on
the decoding sideif those ratings show adequate inter-rater reliability. If rater agreement is
low, it will be inappropriate to correlate their ratings with the nonverbal behavior scores
(decoding correlations) or with the targets’ self-ratings (achievement correlations). Thus, studies
with any sort of nomothetic goals depend on, and therefore must hypothesize, that a group of
observers will reliably agree on actors’ dispositions. If a specified group of observers do not
agree, then conclusions about their cue-utilization policies cannot be stated, probably because
members of that group do not use the same cues.
In one study that fulfilled most of the goals of the proposed paradigm, behavioral cues
were examined as mediators of the encoding-decoding process (Borkenau & Liebler, 1992).
The same judges served as raters of the physical cues and as decoders, however, which
compromised the independence of the behavior scores and trait ratings. Perhaps the first study
that examined nonverbal behavioral mediators and used behavior scorers who were
independent of both targets and observers was conducted by Gifford, Ng, and Wilkinson (1985).
It identified nonverbal cues exhibited by job applicants that mediated (and failed to mediate)
agreement between job applicant and personnel officer assessments of the applicant’s social
skill and motivation to work.
Influences on Nonverbal Communication
The relations between nonverbal communication and interpersonal relations are
complex, and a complete description of them is not possible here; the interested reader is
referred to Manusov and Patterson (2006). This part of the chapter offers sample findings for
the influences of personality, gender, culture, decoding skill, and decodability.
Personality. An example of relatively straightforward encoding results comes from a
study of interacting female dyads (Berry & Hansen, 2000). More agreeable women gestured
Gifford - 19
more, used more open body postures, visually attended to their interaction partner more, used
fewer visual dominance behaviors, and displayed fewer negative facial expressions than did
less-agreeable women. Women who were more open to experience visually attended to their
interaction partners more than those who were less open to experience.
More extraverted persons seem to use more animated, expressive, and animated
gestures, that is, faster and more energetic gestures using the hands farther from the body
(Lippa, 1998) than more introverted persons. Children with more internal, rather than external,
locus of control tendencies smile more and engage in fewer off-task activities (Carton & Carton,
1998). Individuals with avoidant attachment styles tend to choose larger interpersonal
distance(Kaitz, Bar-Haim, Lehrer, & Grossman, 2004), as do those with greater trait anxiety
(e.g., Patterson, 1973) and weaker affiliative tendencies (e.g., Mehrabian & Diamond, 1971).
Senders who speak in a tight-lipped manner or who turn their heads while speaking may be
judged as ―uptight,‖ those who speak with a hand over their mouths or smile with a closed
mouth as shy, and those who smile less as too serious (Ferrari & Swinkels, 1996). The encoded
nonverbal behaviors of conversing senders as a function of eight interpersonal circle
dispositions (Wiggins, 1979) was reported by Gifford (1994a), and nonverbal behaviors clearly
map onto the interpersonal circle (Gifford, 1991; Gifford & O’Connor, 1987). Personality and
gender, the next topic, often interact. For example, using most of one's body when gesturing
validly signals extraversion for women, but not for men (Lippa, 1998).
Gender. Differences in nonverbal behavior for males and females are relatively small in
magnitude, but they do exist and can have important consequences (Hall, 2006). On average,
males generally choose larger interpersonal distances and females tend to orient themselves
more directly to their interaction partner. Women usually are nonverbally more animated and
warm, that is, they smile and laugh more, stand closer, look at and touch others more. These
tendencies will vary or even reverse under different circumstances (Gifford, 2007). As one
example, girls with depressive symptoms look less at their peers than boys with depressive
Gifford - 20
symptoms (van Beek, van Dolderen, & Dubas, 2006).
Women both decode more accurately and are more decodable (legible) to others of both
genders, on average. In a particularly unfortunate instance of what might be called male
decoding deficit, several studies show that men are likely to misinterpret women’s nonverbal
encoding of friendliness as sexual interest, but new work suggests that men also misinterpret
women’s encoded sexual interest as friendliness (Farris, Treat, Viken, & McFall, 2008). Perhaps
this is why at least 9-15-year old girls perceive more anger and negativity in facial expressions
than boys (van Beek & Dubas, 2008). This is not always the case. When women and men are
told that the task is incongruent with stereotypical goals, men were more accurate when they
thought the task involved military interrogation, and women were more accurate when they
thought the task involved social worker skills (Horgan & Smith, 2006).
Culture. A primary goal and issue in the study of nonverbal behavior across cultures has
been universality versus specificity. One general conclusion is that facial expressions for the
main emotions are universal, but the rules for how and when to use them, as well as how to
decode them in others. For example, Americans and Russians express anger and contempt
more than do Japanese (Matsumoto, Yoo, Hirayama, & Petrova, 2005), and Asians decode
emotions as having lower intensity than do Americans (Ekman et al., 1987).
The expression of other nonverbal actions varies considerably across cultures; perhaps
the primary example is preferred interpersonal distance, which roughly increases with latitude
in Western societies (apart from Australia and New Zealand), but is more finely tuned than such
a generalization implies. For example, Colombians choose smaller distances than Costa Ricans
(Shuter, 1976). Among many possible examples, Arabs tend to gaze longer and more directly at
their partners than do Americans (Hall, 1963). Newly immigrated Jews and Italians in New York
City had traditional gesturing patterns, but assimilation attenuated them (Efron, 1941).
Decoding ability. A variant on the study of decoding is the study of decoding ability,
sometimes called nonverbal sensitivity (e.g., Riggio, 2006; Rosenthal, 1979). Decoding as a skill
Gifford - 21
related to the receiver’s own experience and background has often been applied to decoding
the sender’s emotions (e.g., Mullins & Duke, 2004). Apparently, more intelligent judges are
more accurate (Lippa & Dietz, 2000), at least for some qualities: more intelligent university-
student receivers assessed dispositional extraversion and an omnibus (across-dispositions)
measure more accurately than less-intelligent university-student receivers.
Decodability. On the other side of the lens, which qualities are easiest to decode from
nonverbal behavior? Several studies (e.g., Ambady, Hallahan, & Rosenthal, 1995; Borkenau &
Liebler, 1992; Gifford, 1994a; Lippa & Dietz, 2000) report that sociability or extraversion is the
most legible or accurately discernable disposition. However, this may be a function of context:
Most studies use conversations as the activity, and extraversion is particularly salient in
conversations. As noted earlier, women are, on average, more legible than men.
Contexts of Nonverbal Communication
Nonverbal communication is part of every face-to-face interaction, and even many
electronically-mediated interactions. Some interaction contexts are more common or more
important, and this section focuses on close relationships, power relationships, deception, and
computer-mediated interactions, although many more could be included:
Close relationships. Positively-valenced nonverbal behavior is essential to the
development and maintenance of close relationships, or what has been called, in reference to
the interpersonal circle (Leary, 1957; Wiggins, 1979), the horizontal dimension of social
interaction. Among these are touch, smiling, mutual gaze, forward lean, and interpersonal
distance, which together have been called immediacy (Mehrabian, 1967) or positive
involvement behavior (Prager, 2000). Each of these behavioral elements helps to distinguish an
intimate relationship from a casual one (Andersen, Guerrero, & Jones, 2006).
Involvement is said to be encoded in terms of five dimensions (Burgoon & Newton,
1991): immediacy in terms of touch, expressiveness of the face, attention paid to the other,
smooth and coordinated conversational turn-taking, and few vocal pauses. Perhaps less
Gifford - 22
obviously, because it is not a nonverbal behavior in the sense of what occurs during an
interaction, is simply the amount of time spent together, a nonverbal behavior of another sort. In
fact, in one study this was the most powerful of 20 nonverbal behaviors in predicting relational
satisfaction (Egland, Stelzner, Andersen, & Spitzberg, 1997).
Decoding is also important in close relationships: The accurate decoding of the other’s
emotions is important for relationship satisfaction (Gottman & Porterfield, 1981). People in
satisfying relationships generally decode one another more accurately, an outcome in which the
causal arrows probably run in both directions. However, this is not always easy: nonverbal
behavior can be ambiguous, both in terms of encoding and decoding. Ambiguity leads to
misinterpretation which, particularly in developing and in close relationships, can have serious
consequences. For example, faces can convey different dispositional impressions to receivers
depending on the sender’s emotional state (Montepare & Dobish, 2003). Intimate partners are
more likely to notice negative nonverbal cues than positive ones (Manusov, Floyd, Kerssen-
Griep (1997). Other studies suggest that the accuracy of emotional decoding in couples is
almost impossibly complex: it depends on the positive or negative valence of the emotion,
whether the emotion is related to the relationship itself or not, and on the sender’s and
receiver’s degree of relationship satisfaction (Koerner & Fitzpatrick, 2002).
Apart from encoding and decoding, a number of nonverbal trends in relationships have
been found. For example, unhappy couples display more negative nonverbal behavior
(Burgoon, Buller, & Woodall, 1996). and men tend to nonverbally withdraw (less gaze, turning
their head down and away) (Noller, Feeney, Roberts, & Christensen, 2005).
Power and dominance. An important aspect of interpersonal interaction is dominance or
power, sometimes called the vertical dimension of social relations. If one focuses on beliefs
about cues that define sender power (―power codes‖), without considering sender encoding,
receivers apparently believe that as many as 35 cues reveal sender power (Carney, Hall, &
LeBeau, 2005). Among the strongest of these are manifesting a self-assured expression,
Gifford - 23
successfully interrupting others, and initiating hand-shaking. As for most qualities, however,
decoding is much stronger than encoding (Hall, Coats, & LeBeau, 2005). When beliefs are
stronger than reality, the potential for misunderstanding is great.
Decoding depends to some extent on power relations. Subordinates in one study were
more accurate at decoding superiors than superiors were at decoding subordinates, probably
because subordinates send less clear messages to superiors than superiors sent to
subordinates (Hall et al., 2006).
Deception. Unfortunately (in most cases), people lie to one another (DePaulo et al.,
1996). A long tradition in nonverbal communication research investigates this phenomenon,
usually with the goal of distinguishing between instances of lying and truth-telling. In an
illustration of usually faulty decoding, most police and parents think that they can distinguish the
difference, but most people are poor at detecting lies (e.g., Bond & DePaulo, 2005). Part of the
problem for decoders is that liars do not always use different nonverbal behavior than when they
are telling the truth (Strömwall, Hartwig, & Granhag, 2006; Vrig, 2006).
When people do lie, one perspective asserts that it often is reflected in nonverbal
behaviors associated with (a) fear, guilt, or delight emotions, (b) the complexity of the content,
that is, having to think hard to create a story, and (c) attempts at behavior control, that is,
controlling actions that liars believe might reveal that they are indeed lying (Zuckerman,
DePaulo, & Rosenthal, 1981). Others have suggested that truth-tellers sometimes are subject
to these same influences (DePaulo et al., 2003), for example, when convincing others that
something is very important. Thus, distinguishing between lying and truth-telling can be difficult,
but the distinction may be apparent if the liar presents the story unconvincingly or too
deliberately.
Another perspective recognizes that liars are senders, but someone else is receiving the
message, and that person influences the sender with his or her own actions (Buller & Burgoon,
1996) or knowledge. For example, knowing or thinking that a sender is lying influences what
Gifford - 24
receivers perceive in the sender’s behavior (Levine, Asada, & Park, 2006). As in any nonverbal
interaction, one person’s gazing, smiling, nodding, and posture may influence the other’s.
Obviously, then, particularly if receivers do not take this into account, they may influence the
actions of the sender, and then begin to interpret the sender’s lying or truth-telling in terms of
some nonverbal pattern that they themselves influenced.
No single cue is an extremely valid cue to lying, but some are more reliable than others.
In a comprehensive meta-analysis, De Paulo et al. (2003) found the largest effect sizes for a
lack of vocal and verbal immediacy and certainty, increased pupil dilation, less time spent
talking, discrepant or ambivalent actions, and nervousness. Even larger effect sizes were found
for number of foot movements, changes in pupil size, false smiles, and an indifferent or
unconcerned appearance, but these effect sizes are based on a smaller number of studies and
thus are less well established. Obviously they deserve more research attention. Other studies
report that fewer movements, for example of the hands, signals deception, at least among
senders with higher levels of public self-consciousness (Vrij, Akehurst, & Morris, 1997).
Can receivers be trained to detect deception? The evidence is mixed, but leans toward
slight or moderate improvement in detection rates, depending on the type of message.
Interestingly, even bogus training can improve detection rates, because ―trained‖ receivers
increase their attention to nonverbal cues as they process cues more critically (Levine, Feeley,
McCornack, Hughes, & Harms, 2005).
Computer-mediated communication. The last several decades have seen an enormous
increase in communication via computers. One might think this is outside the realm of nonverbal
communication because for the most part, sender and receiver simply type messages.
However, senders seem to want to embellish their words with more-than-verbal meaning, and
so emoticons and avatars were invented.
Gifford - 25
Emoticons (combinations of punctuation marks or small graphic depictions of emotion-
indicating faces have been used since the early 1980s, and come in many type-symbolic forms,
such as :) or . Despite, or perhaps because of, their simplicity, emoticons are actually more
reliably recognized than human facial expressions (Walther, 2006). Females use them more
often than males, and that the frown emoticon seems to be the only one that that can actually
change the meaning of a verbal statement, as opposed to reinforcing a statement (Walther,
2006).
Avatars, cartoon-like full-body graphic images, up the nonverbal ante, because senders
choose a virtual body to represent themselves, one that is not stuck in a sentence and restricted
to keyboard symbols, but can move around in a virtual world. Thus, avatars open up the
possibility of studying senders’ chosen ―interpersonal‖ distances (Krikorian, Lee, & Chock, 2000)
and appearance (Nowak & Biocca, 2003) as they interact with (virtual) others.
Chronemics refers to the temporal aspect of computer-mediated communication, that is,
the study of the time it takes for a recipient to reply to a sender. Is it important that someone
replies to your email in five minutes versus five days? Apparently it is (Hesse, Werner, &
Altman, 1988; Rice, 1990). When responses are slower, receivers tend toward making personal
rather than situational attributions about senders (Cramton, 2001). Waiting longer than expected
for a reply in instant-message conversations understandably leads to frustration or even hostility
(Rintel & Pittam, 1997). Task-oriented messages sent late in the evening (as opposed to those
sent in the morning) lead to attributions of dominance on the part of the sender by the receiver
(Walther & Tidwell, 1995). Expectations of a fast email reply appear to be relaxed when the
sender and receiver are in an established social relationship (Walther, 2006).
Using Nonverbal Behavior to Predict Interpersonal Outcomes
Gifford - 26
Whether through very brief presentations of a sender or longer and involved interactions
such as marriage (e.g., Gottman & Porterfield, 1981), nonverbal communication researchers
concerned with the future impact of current interactions have tried to predict the future from the
present. The classic example is a study which demonstrated that evaluations of 30-second
silent clips of instructors by college students were strongly predictive of those instructors’ end-of
term ratings by students in their classes (Ambady & Rosenthal, 1993). Many other studies
have supported the idea that fairly accurate evaluations occur with quite brief exposures to
senders (e.g., Curhan & Pentland, 2007).
Implications for Everyday Interpersonal Interactions
One important implication of the findings is that when sender and receiver believe that
different behaviors signify a given sender quality (or that a given behavior signifies different
sender qualities), misinterpretation and conflict can result. For example, if a receiver believes
that a sender is open to the development of a deeper relationshipor nothe or she may well
behave toward the sender in accordance with this perception. The sender consequently may
then be pleasantly or unpleasantly moved by these actions and may then respond accordingly
(or not). The receiver may then react to the sender’s reaction negatively if the inference was
incorrect, and so on. In this way, the innocent use of, and consequent mis-inference from,
certain nonverbal behaviors can seriously damage the development of social relations. A very
general problem is the overly strong and often incorrect inference of sender qualities by
receivers. This can, and probably is, the root of many interpersonal problems.
Conclusion
Nonverbal communication clearly is a very important part of interpersonal interaction, yet
pinning down the specific ways in which its behavioral dimensions are encoded and decoded,
and how social judgment processes influence and are influenced by it, remain as challenges.
These challenges are partially illuminated by the process model portrayed in Table 1 (Gifford,
2006), which is an expanded form of the simple model offered at the beginning of the chapter; it
Gifford - 27
is intended to describe the research possibilities for communication in the nonverbal context.
The model was adapted from Craik's (1968) framework for understanding environmental
perception, and it aims to present a comprehensive overview of the different kinds of senders,
transmission media (e.g., face-to-face, telephone, computer, television), and types of
judgments, criteria, receivers, and analyses that nonverbal communication research could
include.
[Insert Table 1 about here]
The process model is both daunting, in that it suggests the huge number of possibilities in this
research area in contrast to what can be included in any one study, and heuristic, in that it can
serve as an agenda for future researchers. A workable form of the framework, evolved from
Brunswik’s (1956) lens model, will be described at some length later in this chapter
The possibilities, contrasted with the challenges, help to account for the variations in
researchers’ optimism and enthusiasm from the 1930s until now. Researchers have been both
aided and daunted by advances in theory and technology, and they face important
methodological complexities. However, if researchers are, at minimum, careful to describe how
their studies deal with the complexities, understanding will grow. This will be a step toward a
fuller understanding of both social judgment and the delicate behavioral dance involved in
nonverbal communication.
References
Agliati, A., Vescovo, A., & Anolli, L. (2006). A new methodological approach to nonverbal
behavior analysis in cultural perspective. Behavior Research Methods, 38, 364-371.
Ambady, N., Hallahan, M., & Rosenthal, R. (1995). On judging and being judged accurately in
zero-acquaintance situations. Journal of Personality and Social Psychology, 69, 518-529.
Ambady, N., & Rosenthal, R. (1993). Half a minute: Predicting teacher evaluations from thin
slices of nonverbal behavior and physical attractiveness. Journal of Personality and Social
Psychology, 64, 431-441.
Gifford - 28
Allport, G., & Vernon, P. (1933). Studies in expressive movement. New York: MacMillan.
Andersen, P. A. (1985). Nonverbal immediacy in interpersonal communication. In A. W.
Siegman & S. Feldstein (Eds.). Multichannel integrations of nonverbal behavior. (pp. 1-36).
Hillsdale, NJ: Erlbaum.
Andersen, P. A., Guerrero, L. K., & Jones, S. M. (2006). Nonverbal behavior in intimate
interactions and intimate relationships. In V. Manusov & M. L. Patterson (Eds.), The Sage
handbook of nonverbal communication. (pp. 259-278). Thousand Oaks, CA: Sage.
Argyle, M., et al. (1970). The communication of inferior and superior attitudes by verbal and
non-verbal signals. British Journal of Social and Clinical Psychology, 9, 222-231.
Argyle, M., & Dean, J. (1965). Eye contact, distance, and affiliation. Sociometry, 28, 289-304.
Bernieri, F. J., & Gillis, J. S. (2001). Judging rapport : Employing Brunswik’s lens model to study
interpersonal sensitivity. In J. A. Hall & F. J. Bernieri (Eds.), Interpersonal sensitivity: Theory
and measurement (pp. 3-20). Mahwah, NJ: Erlbaum.
Berry, D. S., & Hansen, J. S. (2000). Personality, nonverbal behavior, and interaction quality in
female dyads. Personality and Social Psychology Bulletin, 26, 278-292.
Birdwhistell, R. L. (1952). An introduction to kinesics: An annotation system for analysis of body
motion and gesture. Washington, DC: U.S. Department of State Foreign Service Institute.
Blackman, M. C. (2002). The employment interview via the telephone: Are we sacrificing
accurate personality judgments for cost efficiency? Journal of Research in Personality, 36,
208-233.
Boone, R. T., & Buck, R. ( 2003). Emotional expressivity and trustworthiness: The role of
nonverbal behavior in the evolution of cooperation. Journal of Nonverbal Behavior, 27, 163-
182.
Bond, C. F., & De Paulo, B. M. (2005). Accuracy of deception judgments. Unpublished
manuscript.
Borkenau, P., & Liebler, A. (1992). Trait inferences: Sources of validity at zero acquaintance.
Gifford - 29
Journal of Personality and Social Psychology, 62, 645-657.
Brunswik, E. (1956). Perception and the representative design of psychological experiments.
Berkeley, CA: University of California Press.
Bull, P. (1983). Body movement and interpersonal communication. New York: Wiley.
Buller, D. B., & Burgoon, J. K. (1996). Interpersonal deception theory. Communication Theory,
6, 203-242.
Burgoon, J. K. (1978). A communication model of personal space violations: Explication and an
initial test. Human Communication Research, 4, 129-142.
Burgoon, J. K., Buller, D. B., & Woodall, W. G. (1996). Nonverbal communication: The
unspoken dialogue (2nd ed.). New York: McGraw-Hill.
Burgoon, J. K., & Newton, D. A. (1991). Applying social meaning model to relational message
interpretations of conversational involvement: Comparing observer and participant
perspectives. Southern Communication Journal, 56, 96-113.
Burgoon, J. K., Ebesu, A. H., White, C. H., Koch, P., Alvaro, E. M., & Kikuchi, T. (1998). The
many faces of interaction adaptation. In M. T. Palmer & G. A. Barnett (Eds.), Progress in
Communication Sciences (Vol. 14, pp. 191-220). Stamford, CT: Ablex.
Campbell, A., & Rushton, J. P. (1978). Bodily communication and personality. British Journal of
Social and Clinical Psychology, 17, 31-36.
Cappella, J. N., & Greene, J. O. (1982). A discrepancy-arousal explanation of mutual influence
on expressive behavior for adult and infant-adult interaction. Communication Monographs,
49, 89-114.
Carney, D. R., Hall, J. A., & LeBeau, L. S. (2005). Beliefs about the nonverbal expression of
power. Journal of Nonverbal Behavior, 29, 105-123.
Carton, J. S., & Carton, E. E. R. (1998). Nonverbal maternal warmth and children’s locus of
control of reinforcement. Journal of Nonverbal Behavior, 22, 77-86.
Choi, V. S., Gray, H. M., & Ambady, N. (2005). The glimpsed world: Unintended communication
Gifford - 30
and unintended perception. In R. R. Hassin, J. S. Uleman, & J. A. Bargh (Eds.), The new
unconscious. (pp. 309-333). New York: Oxford.
Cleeton, G. U., & Knight, F. B. (1924). Validity of character judgments based on external criteria.
Journal of Applied Psychology, 8, 215-231.
Craik, K. H. (1968). The comprehension of the everyday physical environment. Journal of the
American Institute of Planners, 34, 29-37.
Cramton, C. D. (2001). The mutual knowledge problem and its consequences for dispersed
collaboration. Organization Science, 12, 346-371.
Curhan, J. R., & Pentland, A. (2007). Thin slices of negotiation: Predicting outcomes from
conversational dynamics within the first 5 minutes. Journal of Applied Psychology, 92, 802-
811.
Darwin, C. (1872/1998). The expression of the emotions in man and animals. New York: Oxford.
Dawkins, R. (1989). The selfish gene: New edition. New York: Oxford.
DePaulo, B. M., Kashy, D. A., Kirkendol, S. E., Wyer, M. M., Epstein, J. A. (1996). Lying in
everyday life. Journal of Personality and Social Psychology, 70, 979-995.
DePaulo, B. M., Lindsay, J. L., Malone, B. E., Muhlenbruck, L., Charlton, K., & Cooper, H.
(2003). Cues to deception. Psychological Bulletin, 129, 74-118.
Efron, D. (1941). Gesture and environment. Oxford, UK: King’s Crown Press.
Egland, K. I., Stelzner, M. A., Andersen, P. A., & Spitzberg, B. S. (1997). Perceived
understanding, nonverbal communication, and relational satisfaction. In J. E. Aitken & L. J.
Shedletsky (Eds.). Intrapersonal communication processes (pp. 386-396). Annandale, VA:
Speech Communication Association.
Ekman, P., & Friesen, W. V. (1971). Constants across culture in the face and emotion. Journal
of Personality and Social Psychology, 17, 124-129.
Ekman, P., Friesen, W. V., O’Sullivan, M., Chan, A., Diacpoyanni-Tarlatzis, I., Heider, K., et al.
(1987). Journal of Personality and Social Psychology, 53, 712-717.
Gifford - 31
Exline, R. V. (1963). Explorations in the process of person perception: Visual interaction in
relation to competition, sex, and need for affiliation. Journal of Personality, 31, 1-20.
Farris, C., Treat, T. A., Viken, R. J., & McFall, R. M. (2008). Perceptual mechanisms that
characterize gender differences in decoding women’s sexual intent. Psychological Science,
19, 348-354.
Ferrari, J. R., & Swinkels, A. (1996). Classic cover-ups and misguided messages: Examining
face-trait associations in stereotyped perceptions of nonverbal behavior. Journal of Social
Behavior and Personality, 11, 27-42.
Funder, D. C. (2003). Toward a social psychology of person judgments: Implications for person
perception accuracy and self-knowledge. In Forgas, J. P., & Williams, K. D. (Eds.) Social
judgments: Implicit and explicit processes. (pp. 115-133). New York: Cambridge.
Funder, D. C., & Colvin, C. R. (1988). Friends and strangers: Acquaintanceship, agreement,
and the accuracy of personality judgment. Journal of Personality and Social Psychology,
55, 149-158.
Gifford, R. (1991). Mapping nonverbal behavior on the interpersonal circle. Journal of
Personality and Social Psychology, 61, 279-288.
Gifford, R. (1994a). A lens-mapping framework for understanding the encoding and decoding of
interpersonal dispositions in nonverbal behavior. Journal of Personality and Social
Psychology, 66, 398-412.
Gifford, R. (1994b). SKANS 5.2: The seated kinesic activity notation system. Technical report.
Victoria, BC: University of Victoria. (Available from the author.)
Gifford, R. (2006). Personality and nonverbal behavior. In V. Manusov & M. L. Patterson (Eds.),
The Sage handbook of nonverbal communication. (pp. 201-218). Thousand Oaks, CA:
Sage.
Gifford, R. (2007). Environmental psychology: Principles and practice. Colville, WA: Optimal
Books.
Gifford - 32
Gifford, R., Ng, C. F., & Wilkinson, M. (1985). Nonverbal cues in the employment interview:
Links between applicant qualities and interviewer judgments. Journal of Applied
Psychology, 70, 729-736.
Gifford, R., & O’Connor, B. (1987). The interpersonal circumplex as a behavior map. Journal of
Personality and Social Psychology, 52, 1019-1026.
Gottman, J. M., & Porterfield, A. L. (1981). Communicative competence in the nonverbal
behavior of married couples. Journal of Marriage and the Family, 43, 817-824.
Gray, H. M., & Ambady, N. (2006). Methods for the study of nonverbal communication. In V.
Manusov & M. L. Patterson (Eds.), The Sage handbook of nonverbal communication. (pp.
41-58). Thousand Oaks, CA: Sage.
Hall, E. T. (1959). The silent language. Garden City, NY: Doubleday.
Hall, J. A. (2006). Women’s and men’s nonverbal communication: Similarities, differences,
stereotypes, and origins. In V. Manusov & M. L. Patterson (Eds.), The Sage handbook of
nonverbal communication. (pp. 201-218). Thousand Oaks, CA: Sage.
Hall, J. A., Rosip, J. C., Smith LeBeau, L., Horgan, T. G., & Carter, J. D. (2006). Attributing the
sources of accuracy in unequal-power dyadic communication: Who is better and why?
Journal of Experimental Social Psychology, 42, 18-27.
Hall, J. A., & Schmid Mast, M. (2007). Sources of accuracy in the empathic accuracy paradigm.
Emotion, 7, 438-446.
Hammond, K. R. (1955). Probabalistic functioning and the clinical method. Psychological
Review, 62, 255-262.
Hauser, M. D. (1996). The evolution of communication. Cambridge, MA: Cambridge University
Press.
Heslin, R., & Patterson, M. L. (1982). Nonverbal behavior and social psychology. New York:
Plenum.
Hesse, B. W., Werner, C. M., Altman, I. (1988). Temporal aspects of computer-mediated
Gifford - 33
communication. Computers in Human Behavior, 4, 147-165.
Hoffman, P. J. (1960). The paramorphic representation of clinical judgment. Psychological
Bulletin, 57, 116-131.
Horgan, T. G., & Smith, J. L. (2006). Interpersonal reasons for interpersonal perceptions:
Gender-incongruent purpose goals and nonverbal judgment accuracy. Journal of Nonverbal
Behavior, 30,127-140.
Hovland, C. I., & Janis, I. L. (1959). Personality and persuasibility. New Haven, CT: Yale
University Press.
Hsee, C. K., Hatfield, E., Carlson, J. G., & Chemtob, C. (1992). Assessments of the emotional
state of othersconscious judgments versus emotional contagion. Journal of Social and
Clinical Psychology, 11, 119-128.
Izard, C. E. (1979). The maximally discriminative facial movement coding system (MAX).
Newark, NJ: The University of Delaware Information Technologies and University Media
Services.
Kaitz, M., Bar-Haim, Y., Lehrer, M., & Grossman, E. (2004). Adult attachment style and
interpersonal distance. Attachment and Human Development, 6, 285-304.
Kenny, D. A. (1994). Interpersonal perception: A social relations analysis. New York: Guilford.
Koerner, A. F., & Fitzpatrick, M. A. (2002). Nonverbal communication and marital adjustment
and satisfaction: The role of decoding of relationship relevant and relationship irrelevant
affect. Communication Monographs, 69, 33-51.
Krikorian, D. H., Lee, J., & Chock, T. M. (2000). Isn’t that spatial? Distance and communication
in a 2D virtual environment. Journal of Computer-Mediated Communication, 5.
(Retrieved August 25, 2009 from http://jcmc.indiana.edu/vol5/issue4/krikorian.html)
Kudoh, T., & Matsumoto, D. (1985). Cross-cultural examination of the semantic dimensions of
body postures. Journal of Personality and Social Psychology, 48, 1440-1446.
Leary, T. (1957). Interpersonal diagnosis of personality. New York: Ronald.
Gifford - 34
Levine, T. R., Asada, K. J. K., & Park, H. S. (2006). The lying chicken and the gaze-avoidant
egg: Eye contact, deception, and causal order. Southern Communication Journal, 71, 401-
411.
Levine, T. R., Feeley, T. H., McCornack, S. A., Hughes, M., & Harms, C. M. (2005). Testing the
effects of nonverbal behavior training on accuracy in deception detection with the inclusion
of a bogus training control group. Western Journal of Communication, 69, 203-217.
Lippa, R. (1998). The nonverbal display and judgment of extraversion, masculinity, femininity,
and gender diagnosticity: A lens model analysis. Journal of Research in Personality, 32, 80-
107.
Lippa, R., & Dietz, J. K. (2000). The relation of gender, personality, and intelligence to judges’
accuracy in judging strangers’ personality from brief video segments. Journal of Nonverbal
Behavior, 24, 25-43.
Manusov, V., Floyd, K., & Kerssen-Griep, J. (1997). Yours, mine, and ours: Mutual attributions
for nonverbal behaviors in couples’ interactions. Communication Research, 24, 234-260.
Manusov, V., & Patterson, M. L. (Eds.), The Sage handbook of nonverbal communication.
Thousand Oaks, CA: Sage.
Matsumoto, D., Yoo, S. H., Hirayama, S., & Petrova, G. (2005). Validation of an individual-level
measure of display rules: The display rule assessment inventory (DRAI). Emotion, 5, 23-40.
Mehrabian, A. (1967). Orientation behaviors and nonverbal attitude in communicators. Journal
of Communication, 17, 324-332.
Mehrabian, A., & Diamond, S. G. (1971). Seating arrangement and conversation. Sociometry,
34, 281-289.
Mehrabian, A., & Weiner, M. (1967). Decoding of inconsistent communications. Journal of
Personality and Social Psychology, 6, 108-114.
Montepare, J. M., & Dobish, H. (2003). The contribution of emotion perceptions and their
overgeneralizations to trait impressions. Journal of Nonverbal Behavior, 27, 237-254.
Gifford - 35
Motowidlo, S. J., Burnett, J. R., Maczynski, J., & Witkowski, S. (1996). Predicting managerial job
performance from personality ratings based on a structured interview: An international
replication. Polish Psychological Bulletin, 27, 139-151.
Mullins, D. T., & Duke, M. P. (2004). Effects of social anxiety on nonverbal accuracy and
response time I: Facial expressions. Journal of Nonverbal Behavior, 28, 3-33.
Noller, P. (2006). Nonverbal communication in close relationships. In V. Manusov & M. L.
Patterson (Eds.), The Sage handbook of nonverbal communication. (pp. 403-420).
Thousand Oaks, CA: Sage.
Noller, P., Feeney, J. A., Roberts, N., & Christensen, A. (2005). Withdrawal in couple
interactions: Exploring the causes and consequences. In R. E. Riggio & R. S. Feldman
(Eds.), Applications of nonverbal communication (pp. 195-213). Mahwah, NJ: Erlbaum.
Nowak, K. L., & Biocca, F. (2003). The effect of the agency and anthropomorphism on users’
sense of telepresence, co-presence, social presence in virtual environments. Presence, 12,
481-494.
Parker, J., & Burkley, M. (2009). Who’s chasing whom? The impact of gender and relationship
status on mate poaching. Journal of Experimental Social Psychology, 45, 1016-1019.
Patterson, M. L. (1973). Stability of nonverbal immediacy behaviors. Journal of Experimental
Social Psychology, 9, 97-109.
Patterson, M. L. (1976). An arousal model of interpersonal intimacy. Psychological Review, 83,
235-245.
Patterson, M. L. (1982). A sequential functional model of nonverbal exchange. Psychological
Review, 89, 231-249.
Patterson, M. L. (1991). A functional approach to nonverbal exchange. In R. S. Feldman, & B.
Rime (Eds.). Fundamentals of nonverbal behavior (pp. 458-495). Cambridge, UK:
Cambridge.
Patterson, M. L. (1995). A parallel process model of nonverbal communication. Journal of
Gifford - 36
Nonverbal Behavior, 19, 3-29.
Peabody, D., & Goldberg, L. R. (1989). Some determinants of factor structures from personality-
trait descriptors. Journal of Personality and Social Psychology, 57, 552-567.
Pintner, R. (1918). Intelligence estimated from photographs. Psychological Review, 25, 286-
296.
Prager, K. J. (2000). Intimacy in personal relationships. In C. Hendrick & S. S. Hendrick (Eds.),
Close relationships: A sourcebook (pp. 229-242). Thousand Oaks, CA: Sage.
Reichenbach, H. (1938). Experience and prediction. Chicago: University of Chicago Press.
Rice, R. E. (1990). Computer-mediated communication system network data: Theoretical
concerns and empirical examples. International Journal of Man-Machine Studies, 32, 627-
647.
Riggio, R. E. (2006). Nonverbal skills and abilities. In V. Manusov & M. L. Patterson (Eds.), The
Sage handbook of nonverbal communication. (pp. 79-95). Thousand Oaks, CA: Sage.
Rintel, E. S., & Pittam, J. (1997). Strangers in a strange land: Interaction management on
Internet Relay Chat. Human Communication Research, 23, 507-534.
Rosenthal, R. (Ed.) (1979). Skill in nonverbal communication: Individual differences. Cambridge,
MA: Oelgeschlager, Gunn & Hain.
Scherer, K. R. (1978). Personality inference from voice quality: The loud voice of extroversion.
European Journal of Social Psychology, 8, 467-487.
Schwartz, B., Tesser, A., & Powell, E. (1982). Dominance cues in nonverbal behavior. Social
Psychology Quarterly, 45, 114-120.
Shuter, R. (1976). Proxemics and tactility in Latin America. Journal of Communication, 26, 46-
52.
Sommer, R. (1959). Studies in personal space. Sociometry, 22, 247-260.
Stern, W. (1935). Allgemeine psycholgie auf personalistischer grundlage. The Hague: Nijhoff.
Strömwall, L. A., Hartwig, M., & Granhag, P. A. (2006). To act truthfully: nonverbal behavior and
Gifford - 37
strategies during a police interrogation. Psychology, Crime, and Law, 12, 207-219.
Tracy, J. L., & Robins, R. W. (2007). The prototypical pride expression: Development of a
nonverbal behavior coding system. Emotion, 7, 789-801.
Trager, G. L. (1958). Paralanguage: A first approximation, Studies in Linguistics, 13, 1-12.
van Beek, Y., van Dolderen, M. S. M., & Dubas, J. J. S. D. (2006). Gender-specific development
of nonverbal behaviors and mild depression in adolescence. Journal of Child Psychology
and Psychiatry, 47, 1272-1283.
van Beek, Y, & Dubas, J. S. (2008). Age and gender differences in decoding basic and non-
basic facial expressions in late childhood and early adolescence. Journal of Nonverbal
Behavior, 31, 32-52.
Viteles, M. S., & Smith, K. R. (1932). The prediction of vocational aptitude and success from
photographs. Journal of Experimental Psychology, 15, 615-629.
Vrij, A. (2006). Nonverbal communication and deception. In V. Manusov & M. L. Patterson
(Eds.), The Sage handbook of nonverbal communication. (pp. 341-359). Thousand Oaks,
CA: Sage.
Vrij, A., Akehurst, L. & Morris, P. (1997). Individual differences in hand movements during
deception. Journal of Nonverbal Behavior, 21, 87-102.
Walther, J B. (2006). Nonverbal dynamics in computer-mediated communication. In V. Manusov
& M. L. Patterson (Eds.), The Sage handbook of nonverbal communication. (pp. 461-479).
Thousand Oaks, CA: Sage.
Walther, J. B., & Tidwell, L. C. (1995). Nonverbal cues in computer-mediated communication,
and the effect of chronemics on relational communication. Journal of Organizational
Computing, 5, 355-378.
Watson, D. (1989). Strangers’ ratings of the five robust personality factors: Evidence of a
surprising convergence with self-report. Journal of Personality and Social Psychology, 57,
120-128.
Gifford - 38
Wiggins, J. S. (1973). Personality and prediction: Principles of personality assessment.
Reading, MA: Addison-Wesley.
Wiggins, J. S. (1979). A psychological taxonomy of trait-descriptive terms: The interpersonal
domain. Journal of Personality and Social Psychology, 37, 395-412.
Zuckerman, M., DePaulo, B. M., & Rosenthal, R. (1981). Verbal and nonverbal communication
of deception. In L. Berkowitz (Ed.)., Advances in experimental social psychology (Vol. 14,
pp. 1-57). New York: Academic Press.
Gifford - 39
Table 1. A Process and Research Model for Understanding Nonverbal Communication
Sender (S) Receiver (R)
____________________ ______________ ______________________________________ _____
Role Personal Message Medium Measure (I) Context Role Personal Feedback Question (I)
Quality Quality
Child Pers onality Factual In Vivo Self-report (S) Conversation Child Personality Factual Encoding
Student Status/Class Persuasive Video Rating (R) Personnel Selection Student Status/Class Agreement Decoding
Partner Gender Supportive Audio Rating (I) Deception Partner Gender Disagreement Accuracy
Friend Age Threatening Transcript Scored Behavior: Clinical Friend Ag e Inc omprehension
Peer Education Emotional Drawing Single Attraction Peer Education Emotional
Other Culture Ethnicity Computer Pattern Environment Other Culture Ethnicity None
Employee Attractiveness Employee Attractiveness
Employer Employer
Stranger Stranger
Enemy Enemy
Note. Nonverbal communication in interpersonal relationships is complex. Senders (S) with various personal qualities who may hold a variety of roles may send a variety of message
types using many nonverbal cues (not depicted in this table) within a variety of social contexts. These may be measured by researchers (I) using a var iety of tools. The sender’s
messages are directed to receivers (R) with their own set of personal qualities who may be hold different r oles and respond to the sender in different nonverbal ways. R esearchers
may be interested in encoding, decoding, accuracy, or in other relations between elements of these columns. The elements in all columns are examples rather than complete lists.
Gifford - 40
Figure 1. The lens model (Brunswik, 1956), updated.
Social and Cultural Context
Ecological Cue
Validity Utilization
Receiver
Decoding
Sender
Encoding
Face and Head
Trunk
Hands and Arms
Legs and Feet
... Finally, the relation between the perceiver's judgment and the target's characteristic is an indicator of judgment accuracy. The more cue validity and cue utilization are similar, the higher the accuracy of the perceiver's judgment (Ambady, Hallahan, & Rosenthal, 1995;Gifford, 2011;Sommers, Greeno, & Boag, 1989). Based on the lens model, the following sections review the literature on cue utilization, cue validity, and judgment accuracy in the job interview. ...
... It remains therefore largely unknown how the recruiters make those correct inferences. Future research might want to refer increasingly to the lens model approach, which will enable researchers to compare adequately the cue utilization with cue validity and assessment accuracy (Gifford, 2011) and to assess an even wider array of nonverbal behaviors or nonverbal behavior composites. ...
... Finally, the relation between the perceiver's judgment and the target's characteristic is an indicator of judgment accuracy. The more cue validity and cue utilization are similar, the higher the accuracy of the perceiver's judgment (Ambady, Hallahan, & Rosenthal, 1995;Gifford, 2011;Sommers, Greeno, & Boag, 1989). Based on the lens model, the following sections review the literature on cue utilization, cue validity, and judgment accuracy in the job interview. ...
... It remains therefore largely unknown how the recruiters make those correct inferences. Future research might want to refer increasingly to the lens model approach, which will enable researchers to compare adequately the cue utilization with cue validity and assessment accuracy (Gifford, 2011) and to assess an even wider array of nonverbal behaviors or nonverbal behavior composites. ...
Chapter
Full-text available
In human resources, employee selection plays a major role. Given that an organization functions only with its members, the selection of a member who contributes the most and best to the productivity is aspired to (Guion & Highhouse, 2006). Thus, the selection has a powerful impact on the company’s outcome, going both ways: as much as a good selection can have a positive impact, a bad selection can have a negative impact on the company.
... Based on Interpersonal Theory (Horowitz & Strack, 2011) which describes human behaviour as reciprocal, interaction-related, and social-structuring also through nonverbal communication (Gifford, 2011) and the interpersonal circumplex (Kiesler, 1983;Leary, 1957), Wubbels et al. (2006) developed the Model for Interpersonal Teacher Behaviour (Wubbels et al., 2006(Wubbels et al., , 2016. It applies agency and communion as fundamental dimensions of teaching and implies that specific combinations of both lead to different types of teacher-student relationships (e.g., directive, tolerant, uncertain, or repressive; Wubbels et al., 2006). ...
Article
Full-text available
Background: Research on on-screen instructor videos in education highlighted the role of embodied social cues for students' interest and motivation. As essential components of nonverbal communication variations of instructors' body postures may enhance teaching and stimulate learning by affecting students' perception and attitudes. // Aims: We investigate how an instructor's posture influence students' perceptions of and their attitudes towards an instructor in a video, as well as their interest and motivation regarding the topic. // Sample: University students participated online in a pilot (N = 194), a complementary (audio track-comparison; N = 53), and a preregistered (N = 434) experiment. // Methods: Participants were randomly assigned to watch one of four videos in which the instructor's posture was varied regarding verticality (upright vs. slumped) and horizontality (open vs. closed). We assessed students' perceptions of the instructor's enthusiasm, agency, and communion, liking and respect for the instructor, situational interest and motivation. // Results: While perceived enthusiasm, agency, communion, and students' liking were affected by the vertical and the horizontal dimension, students' respect was only influenced by the horizontal dimension. Regarding situational interest and motivation, we found indirect-only mediation effects of both posture dimensions mediated through perceived enthusiasm. Further mediation analyses indicated that the vertical dimension affected respect indirectly and the horizontal dimension affected liking, both mediated through perceptions of agency and communion. // Conclusions: Our study demonstrates that instructor's body postures as embodied social cues in educational videos affect students' perceptions of and attitudes towards the instructor, which in turn, shape students' interest and motivation.
... A purpose of this research is to study non-verbal behavior in two different cultures, comparing its specificity with its generality. One of the general outcomes is that facial expressions are general in the category of main emotions, but the rules about how they are used and when they are used and how they are decoded by others are specific (Gifford, 2009;Matsumoto, Yoo, Hirayama, & Petrova, 2005). Different views about non-verbal behaviors indicate whether these behaviors are general or belong to a particular culture. ...
Article
Full-text available
Nonverbal behavior plays an important role in the interpersonal relationships of people who are from different countries and different sex. This cross-cultural study aims to investigate the knowledge of nonverbal cues in Iranian and Italian people taking into account the gender differences as well. a non-verbal questionnaire was utilized in order to evaluate the knowledge of nonverbal cues in samples of 360 Italian and 360 Iranian participants. The results exposed that, the Italian group got a higher rating in nonverbal cues than Iranian one, which means different cultural backgrounds affect the individuals’ knowledge of non-verbal cues, and also in the Iranian group, the women received higher rates than the men, indicating that the women have more non-verbal decoding accuracy compared to the men.
... Current conceptualizations of BPD have highlighted the interpersonal dimension of BPD (Stanley & Siever, 2010), and the analysis of observable interpersonal behaviours may provide important additional insights into how BPD patients form dyadic relationships (Lazarus, Cheavens, Festa, & Zachary Rosenthal, 2014). Nonverbal behaviour is one such readily observable factor, and numerous findings highlight its importance for interpersonal relationships (Gifford, 2010;Wilson, Stroud, & Durbin, 2017). The evaluation of social signals, in turn, is biased by individual differences in personality traits including rejection sensitivity (RS)the susceptibility to interpret social cues as signs of rejection (Staebler, Helbing, Rosenbach, & Renneberg, 2011) which is relevant for mental health in general, and for BPD in particular (Gao, Assink, Cipriani, & Lin, 2017). ...
Article
Full-text available
Objectives: Interpersonal dysfunction is a central feature of borderline personality disorder (BPD), and the neuropeptide oxytocin (OT) has been shown to impact patients' behaviour in numerous ways. Nonverbal signals such as the coordination of body movement (nonverbal synchrony) are associated with the success of interpersonal exchanges and could thus be influenced by features of BPD and by the administration of OT. Design: We explored the effect of intranasal OT (inOT) on nonverbal synchrony in sixteen patients with BPD and fifteen healthy controls (CTL) randomly assigned to two double-blind clinical interviews under inOT and placebo (PL). Methods: Nonverbal synchrony was assessed by automated video-analyses of subject's and interviewer's body movement. Lagged cross-correlations were used to objectively quantify coordination in dyads. Results: Synchrony was higher than pseudosynchrony (= synchrony expected by chance), and there was a differential effect of inOT between groups: While healthy controls displayed increased synchrony under inOT, patients with BPD showed low levels of synchrony under inOT. Additionally, patient's synchrony was negatively associated with self-reported childhood trauma. Conclusions: Nonverbal synchrony in clinical interviews is influenced by inOT, and this effect depends on subject's diagnosis. In line with previous research implying positive associations between nonverbal synchrony and relationship quality, inOT led to an increase of synchrony in healthy controls, but not in patients with BPD. Low levels of synchrony under inOT in patients and its association with childhood trauma suggest that additional mechanisms such as rejection sensitivity might mediate BPD patients' nonverbal behaviour. Practitioner points: Intranasal oxytocin (inOT) attenuated nonverbal synchrony - a proxy for relationship quality - in patients with borderline personality disorder (BPD), while it increased nonverbal synchrony in healthy controls (CTL). Available models (rejection sensitivity; social salience) suggest that inOT may alter the way patients with BPD assess social situations, and this alteration is expressed by changes in nonverbal coordination. Patients with BPD display low levels of synchrony which are even below expected pseudosynchrony based on chance. The association between self-reported childhood trauma and lower synchrony in BPD was most evident for patient's imitative behaviour: Under inOT, patients with high scores of childhood trauma refrained from imitating their interview partners. Study limitations include small sample sizes and limited data on the psychological impact of the clinical interviews.
... A cooperative style has been linked to maintaining contact, a competitive style to aversion. For example, head nods [14], gaze, and open posture [4] are associated with high affiliation. A dominant style is commonly stereotyped as loud and obtrusive, while submissive style is believed to show discrete, unnoted behaviour. ...
Thesis
Full-text available
Technology has a great impact on our everyday lives; computers, smart devices, sensors and digital technology in general, try to communicate with us to accomplish some task. Each step of the communication however, requires understanding of the future behavioral utterance, deciding on what is the circumstance and the social context, and finally predicting the individual’s needs. Even if computers are so deeply involved in our daily lives, they lack basic social skills that would allow for natural communication. We believe automatic personality recognition will provide computers with an essential social notion, improving the quality of services, such as in intelligent tutoring systems or information retrieval systems among many other uses. Over the past few years, researcher in social computing have shown that personality trait recognition from nonverbal behavior is feasible, yet, the accuracy rate never exceeds a certain level, due to a phenomenon called within-person variability. This means that individuals may vary their behavioral manifestation according to the situational context in which they are in. In this thesis, we propose a shift from the traditional personality trait theory, to an approach which incorporates the personality fluctuations. This new perspective defines personality as dynamic episodes, the so called personality states, which relate to situational factors. Based on this property, we define the notion of social situations and propose a fully data-driven approach based on the Topic Modeling theory. The active situational characteristics that emerge from the model are interpreted according to their interrelation to the personality states fluctuations. We also present an automatic framework based on topic modeling, which handles dynamic spatio-temporal patterns of behavior and aims to predict the semantic meaning of the situational patterns, in meaningful situations, without the need of expert annotators.
Article
Full-text available
Recent reviewers have concluded that dispositions are not very reliably encoded in nonverbal behavior, although observers seem eager to use nonverbal information to decode the dispositions of others. A modified Brunswik lens model (E. Brunswik, 1956) and behavior mapping were used to examine the encoding and decoding of 8 interpersonal dispositions from nonverbal cues. First, 20 triads completed self-assessments and were videotaped during conversation. Next, 38 of their nonverbal behaviors were independently scored. Finally, 21 unacquainted peers rated all 60 conversers on the same dispositions. Across the 8 dispositions, encoding multiple correlations ranged from 0 to .62 and decoding ranged from .74 to .82. Achievement (self–other correlations) ranged from .18 to .45. Some implications of the results for interpersonal conflict and personality assessment are discussed.
Article
Full-text available
We examined the effect of acquaintanceship on interjudge agreement in personality ratings. Approximately 150 undergraduates described their own personalities using the Q-sort. They were also described by two close acquaintances and by two “strangers” who knew them only via a single, spontaneous interaction viewed on videotape. The effect of acquaintanceship was powerful: Judgments by close acquaintances agreed with each other and with subjects' self-judgments much better than did judgments by strangers, even though strangers' judgments agreed with each other and with subjects' self-judgments beyond a chance level. This result implies that agreement among acquaintances' judgments must derive at least partly from experience with and observation of the person who is judged. The same traits that yielded better agreement among acquaintances also yielded better agreement among strangers and tended to be rated higher in subjective visibility, suggesting that people are intuitively knowledgeable about the traits they can judge with more and less agreement.
Book
This Handbook provides an up-to-date discussion of the central issues in nonverbal communication and examines the research that informs these issues. Editors Valerie Manusov and Miles Patterson bring together preeminent scholars, from a range of disciplines, to reveal the strength of nonverbal behavior as an integral part of communication.