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Communication accommodation theory: Past
accomplishments, current trends, and future prospects
Howard Giles
a
,
b
,
*
,
1
, America L. Edwards
a
,
1
, Joseph B. Walther
a
,
1
a
Department of Communication, Santa Barbara, CA 93106-4020, USA
b
School of Psychology, The University of Queensland, Brisbane, Australia
article info
Article history:
Available online xxx
Keywords:
Communication accommodation theory
Computer-mediated communication
Human-machine communication
Convergence
Divergence
Communication technology
abstract
This Special Issue commemorates the 50th anniversary of communication accommodation
theory (CAT) in 2023, formerly known as speech accommodation theory. This article re-
flects on the diversity of CAT research as seen in recent studies (2021–2023) as well as the
empirical papers to follow in this Special Issue. It provides an overview of CAT’s history by
reference to previously suggested stages in the evolution of research, with many updates
to stages therein, demonstrating the theory’s cross-disciplinary influences across many
applied social contexts, diverse social groups, languages and cultures, and other commu-
nicative features. Next, we overview burgeoning recent research in computer-mediated
and human-machine interactions that leads to the identification of a seventh stage of
CAT and an agenda of research questions for future work suggested by it. In conclus ion, we
propose a refined and expanded set of Principles of Accommodation.
Ó2023 Published by Elsevier Ltd.
1. Introduction
Communication accommodation theory (CAT) seeks to explain and predict when, how, and why individuals engage in
interactional adjustments with others, as well as recipients’inferences, attributions, and evaluations of, and responses to,
them (e.g., Giles et al., 1991;Soliz et al., 2022). Relatedly, in a fictional novel about the antics of a 19th Century detective,
Charles Lenox, the author (Finch, 2021: 177) alluded to societal changes that can be understood as illustrations of commu-
nication accommodation theory (CAT):
Lenox came from a country whose fashionable manner were largely determine by just a few hundred people. It was
said the Prince of Wales could walk along Pall Mall without any risk of being recognized because so many gentlemen
had copied his appearance –his clothes, his smart beard, his regal pace and posture. The exactitude was almost sci-
entific. Once, after a bout of rheumatism, the prince had taken to shaking hands with an arm pressed tightly to his side.
Within a week it had been the only acceptable way to shake hands in society.
CAT was originally framed as an interpersonal theory of speech nonverbal alignments (see Stamp et al., 2015), but it
now includes intergroup processes as well (see Dragojevic and Giles, 2014); for comparison with other concepts and
theories of interactive alignment, synchrony, conversational entrainment, and the like, see for example, Gasiorek (2016a);
*Corresponding author. Department of Communication, Santa Barbara, CA 93106-4020, USA.
E-mail addresses: HowieGiles@cox.net (H. Giles), americaedwards@umail.ucsb.edu (A.L. Edwards), jwalther@ucsb.edu (J.B. Walther).
1
Current affiliation and address: Department of Communication, Santa Barbara, CA 93106-4020, USA.
Contents lists available at ScienceDirect
Language Sciences
journal homepage: www.elsevier.com/locate/langsci
https://doi.org/10.1016/j.langsci.2023.101571
0388-0001/Ó2023 Published by Elsevier Ltd.
Language Sciences 99 (2023) 101571
Rasenberg et al. (2020);Gasiorek et al. (2021);Wynn and Borrie (2022);Barón-Birchenall (2023); and van de Pol et al. (2023).
A description of CAT’s evolution at this, the theory’s 50th year, is one component of this article.
As some journals commemorate their 50th anniversaries (e.g., Language in Society and Human Communication Research),
Language Sciences is, similarly, celebrating 50 years of CAT publications through this Special Issue. We are indebted to the
journal’s Editor-in-Chief, Sune Stefferson, for his counsel, endorsement, and support. We also extend considerable gratitude
to the Guest Editorial Board for their input and dedicated, systematic, timely, anonymous reviews of the articles published
herein. There are many individual “CAT theorists”who have exuded creative and virtuosic scholarship to whom the field owes
a great debt of gratitude.
A compelling feature of the theory’s history is that it has been studied across cultural contexts, languages, human social
groups, and applied settings (for example, see Gnisci et al., 2016;Watson and Soliz, 2019;Barlow et al., 2023) as well as across
disciplines (see Meyerhoff, 1998,2002;Elhami, 2020). CAT has also guided the design of pragmatic interventions and training
in a range of arenas, including inter-professional healthcare (Watson, 2020).
A substantial body of quantitative work has confirmed many of the predictions emerging from the theory’s testable
propositions (for a meta-analysis, see Soliz and Bergquist, 2016; however, see Alemi and Maleknia, 2023) and, in tandem,
qualitative work has embraced CAT in naturalistic settings, demonstrating that “accommodation is...grounded in the
accomplishment of actions as they unfold in interactions”(Gallois et al., 2016: 118). Accommodation has not only been
studied across successive conversations with the same persons (e.g., Gasiorek and Dragojevic, 2017,2019), but longer-term
(so-called “language contact”) accommodation has also been shown to occur in communities’dialect shifts over extended
periods of time (e.g., Trudgill, 1986,2008;Trinh, 2022;Eide and Hjelde, 2023).
In what follows, we first provide a selective snap-shot of the diversity and growth of features in CAT studies appearing
between 2021 and 2023 (see Table 1), followed by a similar analysis (Table 2) for the 9 empirical articles in this Special Issue.
Then, we update and elaborate previous historical accounts of CAT’s development as a six-stage conceptual map. Thereafter,
we introduce and overview a seventh stage of the theory in terms of its advances on accommodation phenomena that take
place through and with technology, encompassing both computer-mediated and human-machine communication. Finally,
and in light of these developments, we refine and expand the most recent Principles of Accommodation (after Dragojevic
et al., 2016;Soliz et al., 2022).
2. Recent CAT studies’diverse foci and loci
As Table 1 documents, CAT research continues to expand its heuristic utility to explain accommodative dynamics across
more and more language features and strategies, social contexts, individual differences and applications, and journal sources.
In parallel, research that empirically demonstrates the use of different CAT strategies with more explorations of speech
complementarity and respectful avoidance are evident as are the distinctive social and institutional contexts in which CAT
research has taken place. In this vein, business settings, trade, and finance are now included under the CAT umbrella as is the
communicative management of diverse health conditions, like dementia and autism. Besides continuing to investigate the
role of differences in personality and social beliefs on accommodative practices, there has been an increase in interventions
providing CAT training to improve communication across various professional settings (e.g., second language education and
diet therapy). As is also apparent in Table 1, CAT research continues to appear in a variety of disciplines and their respective
journals. While individual citations appear under only one category/column, in most cases they also pertain to other
categories.
In addition to what is noted in Table 1, CAT has been also evoked in analyses and interpretations of communication ac-
commodation within and between an array of non-human species, such as ravens and monkeys (see, for example, Ruch et al.,
2018;Luef et al., 2020). Furthermore, and in addition to intriguing explorations into inter-brain synchrony in verbal (inter-
generational) interactions (e.g., Dikker et al., 2022), a case for the related biophysical underpinnings of communication ac-
commodation (see also, Palomares et al., 2016) has convincingly been laid out by Denes and Dhillon (2019: 232–233) who
argued that:
While individuals might not know their own hormone levels, for example, they can nonetheless identify potential signs
of physiological arousal (e.g., increases in heart rate and sweating) and recognize that such states may impede ac-
commodation competence. Embracing the complex and complicated ways that our bodies interact with environ-
mental, relational, individual, and communicative factors to influence behavior and well-being adds even more
richness to the already fruitful line of research investigating communication accommodation in interpersonal relations.
Turning now to contributions in the present Collection, Table 2 provides a bird’s eye view of the empirical papers that
follow, admittedly skewed towards USA contexts with quantitative, survey, and experimental methods. Table 2 draws
attention to the accommodative foci of studies, the characteristics of actors accommodating (or not) to particular target
others, and the various contexts and media inwhich accommodation happens. Consistent with our introduction of Stage 7 in
a section below, over half of the studies listed (see stage numbers in parentheses) adopt or investigate accommodative
phenomena through new communication technologies, and a few focus attention on mediating processes in technological
contexts. In other words, while accommodation has had direct effects on outcomes (see Bernhold, and Edwards et al., this
Issue), in other studies, accommodation was indirectly implicated through the interceding roles of perceived similarity,
credibility, anxiety, and social attractiveness (Allard and Holmstrom, Byrd and Zhang, and Zhang et al., this Issue).
H. Giles et al. / Language Sciences 99 (2023) 1015712
A selection of other features of these studies are worthy of note (and see also the thought-provoking Epilogue to, and
analysis of, this Collection by Meyerhoff, this Issue). First, in large part, predictions arising from CAT were supported in terms
of convergence and attuning, forging typically favorable intentions and social attributions (e.g., Bernhold, Coolidge et al., and
Cohn et al., this Issue). That said, and predictably so, normatively and negatively-valenced words, such as swearing in the
Table 1
The diversity of CAT features in a sample of recent studies (2021–2023)
a
.
Languages Within Language
Features and Issues
CAT Language
Strategies
Social and
Institutional
Contexts
Health
Conditions
and Issues
Individual
Differences
within Samples
CAT Training-
Intervention-
Related
Journal
Sources
Ewe (Africa)
(Vinyo et al.,
2021);
Manadonese
(Indonesia)
(Diner et al.,
2022);
German
(Ulbrich,
2021);
Flemish
(Swerts et al.,
2021);
Bulgarian
(Filipov and
Zlateva,
2021);
Yaeyaman
(Japan)
(Guay, 2023)
Honorifics (Senafica,
2022);
Spelling (Surkyn
et al., 2022);
Slangs (Fred et al.,
2022); Speech rate
(Fuscone et al., 2021);
Acoustic Features
(
Sturm et al., 2021);
Laughter
(Rathcke and Fuchs,
2022)
Convergence
(Rosen, 2023);
Speech
Complementarity
(Guydish and Tree
Fox, 2023);
Divergence
(Gessinger et al.,
2021);
Non-
Accommodations
(Zhang et al., 2021)
Under-
Accommodation
(Bernhold
et al., 2021)
Respectful
Avoidance
(Omori
et al., 2023)
Finance (Brau
et al., 2022);
Air Traffic
Control
(Hamzah et al.,
2022);
Education
Frey and Lane
(2021);
Law
Enforcement
(Italiano et al.,
2021);
Business
(Ayeni, 2021);
Trade
(Odhiambo,
2022)
Autism
(Hopkins et al.,
2022);
Depression
(Weinstein &
Jensen, in press);
Covid
Pandemic
(Elhami and
Roshan 2021);
Dementia
(Momand
et al., 2022);
Child Birth
(Kabir and
Chan, 2022);
Psychotherapy
(Miner et al.,
2022)
Attachment Styles
and Loneliness
(Bernhold and
Giles, 2022);
Felt
Ostracism (Heng,
2023);
Assimilation
Attitudes
(Montgomery et al.,
2021);
Religious and
Political Beliefs
(Bernhold et al.,
2022);
Educational Track
(Hilte et al., 2021);
Big 5 Personality
Traits
(Marko, 2022)
Rapport-
Building
(Novotny et al.,
2021);
Caring for
Parkinson
Patients
(Pitts et al.,
2022);
Health Care
Workers (Pines
et al., 2021);
Inter-
Institutional
Collaboration
(Blick and
Waters, 2021).
Second
Language
Education
(Ding, 2021);
Diet therapy
(Min et al.,
2021)
Journal of
Qualitative
Linguistics;
Frontiers in
Computer
Science;
American
Journal of
Literature
Studies;
International
Journal of
Financial
Studies;
Journal of
Advanced
Nursing;
International
Journal of
Listening
a
While a few of these cites appear in the text and, therefore, in the References section, for spatial management issues, all other citations in Table 1 can be
found in the Supplementary Bibliographical Material on the online version of this article.
Table 2
Features of the empirical articles in this Special Issue.
Article Authors Accommodation Foci Actors-targets involved Contexts/media Methods CAT stages
implicated
Bernhold Perceptions of others’
accommodation
Middle-aged children & their
parents
Care-giving MTurk online survey 1 (& 6)
Coolidge Convergence to humor:
Verbal irony
General population sample Texting MTurk online survey 7 (& 1)
Allard and
Holmstrom
Convergence to and
divergence from others’
swear words
Imagined professor & student
friend
Education Online vignette survey
with experimental design
1(2&6)
Byrd and Zhang Accommodating others’
group identities
General population with
known person with-visible
disabilities
Interability
dialogues
Cross-sectional online
survey
1 (2, 3, & 6)
Aboba and
Montgomery-
Vesteecka
Accommodation:
Interpretability &
Control
Nonaccommodation:
negative emotional displays
Community health officers &
community Ghanaian
members
Health care Critical discourse analysis
of focus group data
1 (2, 4, & 5)
Adams and Miles Degree of convergence to
non-conventional
nonverbal cues
Student to known others Texting Student online survey 7 (& 1)
Zhang et al. Accommodation
(supportive) &
Nonaccommodation
(non-supportive)
Chinese international student
with American students
Facebook Online survey with
experimental design
7(&6)
Cohn et al. Pronunciation convergence
to 3 text-to-speech voices
varying in human form
Students to machine voices
varying in humanness of
form
Human-
machine
interactions
Online survey with
experimental design
7(1&5)
Edwards et al. Evaluations of under- and
over- accommodations
Social robots to general
population
Education MTurk “Master”online
survey with experimental
design
7(4&6)
H. Giles et al. / Language Sciences 99 (2023) 101571 3
education context by Allard and Holstrom (this Issue), revealed more unfavorable outcomes. Nonetheless, non-
accommodative stances generated typically adverse outcomes as was shown with far-reaching and dire implications for
healthcare (see Aboba and Montgomery-Vesteeka, this Issue). Second, while predictable antecedents of accommodation, such
as relational closeness, degree of liking, and relative power, exhibited robust effects (e.g., Coolidge et al., this Issue), positive
outcomes were not, understandably, found for all verbal and nonverbal features that have been examined (Adams and Miles,
this Issue). Third, it was useful to see accommodation and nonaccommodation examined not only on their own but, also and
simultaneously, alongside other social phenomena - positive and negative self-presentation - as well (see Zhang et al., this
Issue). Furthermore, it is valuable to see the invocation of other theoretical models that complement and can be fruitfully be
aligned with CAT, such as intergroup contact (e.g., Byrd and Zhang, this Issue) and technology equivalence (Cohn et al., this
Issue).
Next, we revisit CAT’s stage structure while also introducing a new one.
3. CAT research as a series of stages
McGlone and Giles (2011) argued over a decade ago that the CAT literature existing at that time suggested a distinct, yet
interrelated, six-stage conceptual history (see also, Giles, 2016;Zhang and Giles, 2017;Zhang and Pitts, 2019). Hence, at this
juncture, it is useful to revisit the evolution of the theory’s benchmark stages, and to supplement their description with
various and more recent developments. It is important to note that, while each stagerepresents a new focus of study, it should
not be construed that they are mutually exclusive, nor that the research that adds to each stage was done in any kind of serial
and well-punctuated timeline. For example, stereotypically-oriented patronizing talk addressing older can be conceived as
such in the intergroup Stage 2 and as overaccommodation in Stage 4.
3.1. Stage 1: addressee foci and convergence
During the theory’s early development, when it was referred to as speech accommodation theory (SAT), it primarily
focused on how, when, and why people accommodated their language and speech patterns to become more similar to their
partners through the process of convergence (e.g., Giles, 1973;Giles et al., 1973;Coupland, 1984). Converging speech modi-
fications may be made consciously or unconsciously in response to internal motivations (e.g., the need to capture others’
approval, or liking, and/or a searching for common ground) to foster a sense of psychological closeness with another, or to
meet receivers’expectations of what is deemed appropriate (Giles, 2008). As paralleled in the literature on nonverbal
mimicry, such accommodative moves render “.numerous benefits for both parties of the interaction leading to a conclusion
that ...they are... “social glue”(Kulesza et al., 2023: 9; for a CAT interpretation of the so-called “chameleon effect”in mimicry
research, see Bernhold and Giles, 2020a).
In some conversations, however, a parallel (and objectively divergent) way of achieving these outcomes can be enacted
when speakers complement each other’s speech patterns (Giles, 1980). This can be illustrated and evident in some societies’
romantic heterosexual relationships, in which males can accentuate their more masculine vocal features (e.g., assume a
deeper pitch) while, in contrast, their female partners can emphasize their more feminine characteristics (e.g., becoming
softer in tone; Hogg, 1985). Empirical study of this so-called tactic of speech complementarity has recently received renewed
attention (e.g., Guydish and Fox Tree, 2022).
In essence, accommodation regulates social interaction by decreasing or increasing social distance between communi-
cators, thereby often reflecting relative social status and power differentials (McGlone and Giles, 2011). The way in which
individuals accommodate their partners can vary in several ways (see Gallois and Giles, 1998)by:
upwardly or downwardly converging in terms of the prestige, where relevant, of the language variety targeted;
fully or partially accommodating a specific speaker characteristic or a particular constellation of them (see Ostrand and
Chodroff, 2021);
symmetrically or asymmetrically accommodating such that both or only one partner converges;
converging at different paces and/or in varying magnitudes within a single conversation or, longitudinally over a
sequence of encounters (e.g., across psychotherapy sessions, Ferrara,1991), yielding an array of cognitive, affective, and
behavioral outcomes that are typically positive, such as gaining compliance (Buller and Aune, 1988).
Indeed, convergence has been shown to have some compelling benefits for its enactors. For instance, through an analysis
of Presidential debate transcripts, Romero et al. (2015) found that politicians who accommodated the linguistic markers of
others in the debate increased their ratings in the polls thereafter (see also, Rosen, 2023). However, in some contexts,
convergence can have detrimental effects when it is collectively enacted by many other people to another group’s higher
status language variety, resulting thereafter in the long-term demise (or even disappearance) of accommodators’traditional
heritage language variety (Matthew, 2023). In like fashion, some cultural groups, who value their group’s unique speech
styles, do not take kindly to large numbers of those who can approximate (and, hence, threaten the distinctiveness and vi-
tality of) them.
H. Giles et al. / Language Sciences 99 (2023) 1015714
Within a few years of its development, SAT was being applied not just to accent and dialect convergence which was its
initial focus (Giles, 1973;Giles and Powesland, 1975), but to communication patterns more broadly, encompassing nonverbal
and verbal behaviors in language use (Giles and Wadleigh, 2008), dress style, demeanor, and appearance. As such, the SAT
theory was subsequently renamed communication accommodation theory (e.g., Giles et al., 1987,1991). CAT work continues
across a wide variety of communicative and phonetic features (Earnshaw, 2021;Pardo et al., 2022; and see Bernhold, Coolidge
et al., Byrd and Zhang, Aboba and Montgomery, and Adams and Miles, this Issue).
3.2. Stage 2: intergroup identities and social differentiation
A fascination with processes of intergroup relations - when speakers’social identities are contextually more salient than
their personality characteristics, mood, or temperament (see Tajfel, 1978; for a recent review and critique of social identity
theory, see Demirden, 2021) - forged the focus of the next stage of CAT research. Here, speakers could adopt moves such as not
converging toward others and maintaining their unique or distinctive speech practices (Bourhis, 1979). Hence, when role
relationships or, say, ethnic group memberships were primed (see Giles et al., 1977), and unlike like the previous emphasis on
convergence, Stage 2 for the most part focused upon encounters where interactants would accentuate differences in their
speech or communicative patterns (e.g., Bourhis et al., 1979). This could be illustrated when physicians use medical jargon
with a patient, instead of using commonly understood terms and phrases. This would, arguably, be enacted by the former in
order to distance themselves sociolinguistically from the latter and, thereby, express and exert power differentials often
evoking deference or resentment by recipients; it could even be interpreted by divergent speakers as successful failure (see
Seibel, 2023).
Divergence could manifest itself as upward or downward, happen quickly or progressively, and be small scale or quite
intensive. In a recent study, Clementson et al. (2023) report on a family member talking to Brazilian colleagues in Portuguese,
noting that “.by diverging to a higher-status in her language through positive expectancy violations relative to her co-
workers, the coworkers respected her more, gave her more attention, and listened to her more attentively in conversations.”
In other words, while divergence is often very disdainfully received (Frey and Lane, 2021;Italiano et al., 2021; see Byrd and
Zhang, Aboba and Montgomery-Vesteeka, and Zhang et al., this Issue), it can, on occasion, have its own significant social
rewards.
Research in Stage 2 often explored intergenerational interactions where certain younger adults act condescendingly with
certain older folk by using what can be termed (and attributed by them) as patronizing talk (e.g., Coupland et al., 1988). Put
another way, younger adults here are not so much responding to an elder as a unique person but, rather, as a member of
stigmatized social category (e.g., Coupland et al., 1993; Harwood et al., 1995). As Zhang and Pitts (2019) asserted, theoretical
attention during this stage focused on the relationship between interpersonal dynamics, on the one hand, and intergroup
dynamics on the other; see Dragojevic and Giles (2014) for a discussion of this distinction, and its implications for language
and communicative behaviors, such as accommodation.
Later developments in this stage examined so-called “group-based identity accommodation”where speakers could
accommodate to another’s group identity (e.g., religious or political) by recognizing and affirming their membership in that
social category (e.g., Soliz et al., 2009;Bernhold and Giles, 2020b). Such work continues to develop today in family
communication (Warner et al., 2021) and in terms of going beyond dichotomous in-out-group interactions to unpacking
intersectionality and the study of accommodations when multiple group memberships are operative (e.g., Omori et al., 2023;
see also, Phoenix and Pattynama, 2006;Collins, 2019). Future work in this stage might also assist in exploring interpersonal
accommodative communication strategies for improving intergroup relations (see the fusion-secure basis hypothesis, Klein
and Bastian, 2023) and social justice (e.g., Mady and El-Khoury, 2023). Such benefits might be interpreted as being allied
to notions of conversational receptiveness for coping with political polarization (Oliver-Blackburn and Chatham-Carpenter,
2023) and particularly under times of societally-threatening cultural changes (see Armenta et al., 2023).
3.3. Stage 3: subjective elements of accommodation
The third stage of CAT focuses on how the process of accommodation is not only a variable phenomenon that can be
concretely measured, coded, or discursively analyzed, but also has important subjective parameters. CAT theorists began to
recognize that accommodation may not align with where others are measured or coded as being objectively, but, on occasions
instead, where they are subjectively believed, expected, and/or perceived to be (for teenagers’self-reports of accommodation,
Hilte, 2023). For instance, Thakerar et al. (1982) found that lower and higher status others converged to where they believed
each other to be stereotypically in terms of speech rate and segmental phonology, irrespective of how they actually sounded.
In fact, they were analyzed as objectively upwardly and downwardly diverging from each other, respectively (see Giles et al.,
1991 : 14; for a 2 2 table of subjective vs. objective x convergence vs. divergence). More recently, Dunbar et al. (2023)
showed, in a study on interpersonal deception, that whereas in interaction truth-tellers’and deceivers’movements were
perceived by them (depending on topic) to be synchronous, objective automated measures of their behaviors showed
otherwise.
It was also during Stage 3 that the antecedent conditions of accommodation and nonaccommodation were elaborated
upon, and motives were more systematically conceptualized. For instance, cognitive motives (which relate to concerns about
message comprehension and communication efficiency) and affective motives (that deal with identity) can occur
H. Giles et al. / Language Sciences 99 (2023) 101571 5
simultaneously. Indeed, speakers can sometimes have multiple goals by wishing to gain another’s approval on the one hand
(e.g., matching them nonverbally) yet, at the same time, also desire to emphasize their heritage, integrity and group identity
(e.g., by exaggerating their regional accent); that is, simultaneous convergence and divergence (see Bilous and Krauss, 1988).
Motives arise, and may shift, during interaction as communicators respond to their own and others’subjectively perceived
identity needs and goals (Wilson, 2019). Recent research that is focused on this facet of the theory is relatively sparse than
other aspects, though the ideas are foundational to how we explain nonaccommodation (especially certain types of
stereotypically-driven overaccommodations) in Stage 4 below.
Interestingly, Simmons-Mackie (2018) suggests that people with aphasia, who have a strong desire to be socially accepted,
often adopt seemingly unusual forms of communication by converging to wherethey subjectively and uniquely feel the kinds
of accommodation that is needed. Not unrelatedly, and by taking the perspective of others (Gasiorek, 2016b;Gasiorek et al.,
2022), work on so-called recursive attributional schemas and mirroring (e.g., Antaki and Lewis, 1986;Folsom, 2004) suggest
that cognitive machinations such as, “I think I know what you think I think you are thinking”may consciously intercede in
decisions about whether to be accommodative or not. That said, there are communicative –and perhaps accommodative -
costs to such chronic mindfulness (see Ault and Brandley, 2023).
Stage 3 may have had its origins, in part, in Bell’s (1984,1991) research where he showed how certain broadcasters aligned
their speech with the presumed characteristics of their radio audiences. His highly influential audience design model has
been taken up by many sociolinguists over the years, particularly with respect social media, networking, and technologies
evident in Stage 7 below (see Seargeant et al., 2012;Androutsopoulos, 2014;Frobenius, 2014).
3.4. Stage 4: other forms of nonaccommodation with attributed inferences and outcomes
The next stage of CAT focused on other forms of nonaccommodation, further increasing its utility in intergenerational,
intercultural, interpersonal, and intergroup communication research (for a selective review and with respect to prejudice, see
Giles et al., in press). In CAT’sfirst decade or two, besides nonaccommodation being manifest in the form of divergence, it was
also conceptualized (as above) as a form of speech maintenance or non-convergence and was used to illustrate ineffective
adjustments to communication (Giles et al., 1991). By the mid-1990s, CAT took a more nuanced approach to distinguishing
other forms of nonaccommodation as over- and under-accommodative. The former was that which exceeded what was
considered appropriate communication, such as engaging in patronizing talk, as mentioned above (e.g., Giles and Williams,
1994). Underaccommodative moves, on the other hand, were those which failed to meet appropriate adjustments, such as
egocentrically ignoring another’s knowledge on the topic to hand or moving to an unrelated topic of only their own concerns
(e.g., Gasiorek, 2013). Research on under- and overaccommodation continues today and as it relates to cumulative forms of,
and the inferred intentionality and motives underlying, them (e.g., Gasiorek, 2016b;Gasiorek and Dragojevic, 2019) and see
Edwards et al. (this Issue).
Sometimes cycles of prolonged and effortful accommodation with certain others can lead to almost destructive non-
accommodative outcomes in follow-up conversations with others. In this vein, Giles and Edwards (in press) recently intro-
duced the notion of accommodative energy. As an illustration, a young relative of one of us regularly takes it upon herself in
family gatherings to devote considerable time and effort talking (but mostly listening) with her elderly aunt who otherwise
tends to monopolize family discussions. This welcome relief for the rest of the family, however, is offset when that niece
subsequently acts is seen to act toward the rest of the family in a passive, removed, and event moody demeanor. One apparent
consequence of the prolonged and exhausting attention to her aunt is that the overly-accommodative niece becomes un-
wittingly becomes nonaccommodative toward other family members in their subsequent conversations.
Edward Maguire (personal communication) suggested that the concept of accommodative energy aligns with the liter-
ature on health care providers’interactions with patients. Healthcare providers are encouraged to be empathetic with pa-
tients, but the expenditure of accommodative energy comes at the emotional costs of excessive stress and fatigue - and even
occupational burn-out - for many providers (see, for example, Adams et al., 2006;Cieslak et al., 2014). Speculatively, this
process also likely arises for some police officers, first responders, and social workers, too, particularly those who frequently
endure certain types of emotionally-draining assignments, such as investigating and or managing child or elder abuse.
3.5. Stage 5: attuning strategies
The fifth stage of CAT research examines how mutual adjustment can go beyond convergence, divergence, over-, and
under-accommodation. Referring to these strategies as “approximation moves,”Coupland et al. (1988) conceptualized three
other distinct axes of so-called attuning strategies, namely, interpretability, discourse management, interpersonal control (for
the coding of them, see Jones et al., 1999). Interpretability strategies are adjustments made to promote message compre-
hension, such as taking into account a receiver’s lack of language proficiency or social knowledge. Discourse management
strategies take a partner’s social and conversational needs into consideration, such as topic selection and face management.
Interpersonal control strategies discursively focus on existing role-relations, and particularly relate to language (e.g., hon-
orifics) invoked to acknowledge, legitimate, or establish power differentials on the one hand, or defuse them on the other. A
further attuning strategy that is exceedingly important is emotional expression (e.g., Williams et al., 1990). This is enacted
when a conversant accommodates another’s affective state and provides social support, affection, and legitimation of that
other’s emotional dilemmas. Work of this genre was established in health communication (e.g., Watson and Gallois, 1998;
H. Giles et al. / Language Sciences 99 (2023) 1015716
Watson et al., 2016) and it continues across many different arenas, including interability communication (Byrd and Zhang,
2020, and this Issue) and classroom teaching (Weizheng, 2019).
Attuning strategies are not, of course, clear-cut on all occasions. While social dilemmas have been a well-established area
of study in social psychology (e.g., Dawes et al., 1977;Van Lange et al., 2013), such as those emerging in dating and multi-racial
relationships (e.g., Gaines et al., 1999;Yum, 2004), CAT has also acknowledged them communicatively. In addressing such
“accommodative dilemmas,”Gallois and Giles (1998) argued that any decision (conscious or otherwise) to accommodate
another person (or not) may be fraught with risks and uncertainties about just how to be behave (Pittam and Gallois, 1999;
Williams, 1999). This may particularly be the case when it cannot be entirely clear to speakers what the real conversational
needs and social identities of their message recipients might be (Giles, 2009) as well as the need, in close relationships, to
balance personal autonomy on the one hand with interdependence on the other (Giles 2008).
Accommodative dilemmas in communication can occur for a range of other reasons (Shankar and Pavitt, 2002), including
social encounters where there are several speakers in a small group setting who use different registers, styles, and dialects
(Dragojevic, 2019) or speeches on sensitive topics in the media where different, and strongly-held, stake holders’positions are
difficult to reconcile (Maguire et al., 2023). Not unrelatedly, accommodative dilemmas can, on occasion, affectively intensify
interactions in ways that lead to so-called “accommodative turbulence”(Giles, 2008; see also, Knobloch et al., 2022), the
interpersonal consequences of which can ignite mistrust, angst, and identity violations.
3.6. Stage 6: mediating mechanisms
The sixth and last stage identified in CAT research (Zhang and Pitts, 2019) has focused on processes and mechanisms that
mediate the effects of accommodation on conversational and social outcomes. As such, accommodation and non-
accommodation have been found, respectively, not always to produce positive or negative evaluations directly per se. Instead,
evaluations are determined in part by cognitive and affective mechanisms triggered by accommodative moves (Myers et al.,
2008) which can themselves, in turn, shape outcomes (see the prejudices-nonaccommodative cyclic model, Giles et al., in
press). For instance, as seen in a series of cross-cultural studies, the more that civilians perceived police officers as accom-
modating, the more they reported complying with the officers’directives and the more willing they were to report crime to
them. This only worked, however, because perceived accommodation led to increased trust in police which itself then
rendered the positive outcomes (e.g., Choi et al., 2019). Work in this tradition –as well as that adopting so-called moderated
mediated models (e.g., Vincze and Gasiorek, 2016;Gasiorek et al., 2022;Omori et al., 2023) - can be seen through the work of
Bernhold et al. (2021) and Zhang et al. (2021) as well as herein by Bernhold, Byrd and Zhang, Zhang et al., and Edwards et al.
(this Issue).
3.7. Summarizing stages 1–6
In sum, we have followed others in characterizing CAT’s evolution as a series of interlocking stages. These stages are not
mutually exclusive and may even feed into each other; Vincze and Gasiorek’s (2018) work, for example, falls into at least the
first, second, and sixth stages of CAT research. By this means we acknowledged CAT’s key attuning strategies in social context
(e.g., those of approximation and discourse management), together with its subjective parameters and mediating mecha-
nisms. During its first six stages of development, CAT has spawned many satellite models, including (but not limited to) the
intergroup model of bilingualism (Giles and Byrne, 1982), multilingual accommodation model (Sachdev et al., 2012),
communicative predicament model of aging (Ryan et al., 1986), ethnolinguistic identity model (Giles and Johnson, 1981), and
communicative model of acculturation (Giles et al., 2012). As mentioned earlier (see Table 1), CAT has also been used to guide
interventions in a variety of contexts as, for example, Chevalier and colleagues’(2020) work on pharmacists and patients, and
Pines et al.’s (2021) work on healthcare workers and aggressive patients.
Even with 50 years of history, CAT research is still ongoing and continues to help advance our understanding of inter-
personal communication as the world keeps changing. Most recently, attention has shifted to the massive, global disruptions
caused by the COVID-19 pandemic which have necessitated increased attention on language and communication manage-
ment (see Jucks and Hendriks, 2021;van Hooft et al., 2023). For instance, we have recently encountered accommodative
dilemmas about, and strong emotive reactions from others associated with, the wearing of face masks (see Rains et al., 2022),
and even via remote video conferencing (e.g., Zoom). In fact, using the initial six Phases as a springboard, we now introduce
Stage 7 of CAT, which is helping us to understand more about how communication is mediated through and occurring with
technology.
4. Communicating through and with technology
When CAT research was introduced five decades ago, humans communicated with one another primarily through face-to-
face (FtF) communication, telephone calls, and letters. Not surprisingly, prior to 2000, only 4% of CAT publications focused on
computer-mediated communication (CMC; Soliz and Bergquist, 2016). The public accessibility of the Internet in the 1990s
ushered dramatic changes to communication, not only in terms of the channels, but the codes that traversedthem (for review,
see Walther and Whitty, 2021). The early CMC systems like email and group conferencing systems had no facial, bodily, or
vocal cues of the kind that signaled identity and prompted accommodation in the earliest CAT (specifically SAT) studies. The
H. Giles et al. / Language Sciences 99 (2023) 101571 7
prevalence and salience of language (and only language) in CMC raised questions whether CAT, or other relational theories,
would “work”in online interactions (for review, see Walther, 2018). By 2007, Fox et al. (2007: 395) were calling for “further
research on both asynchronous and synchronous CMC.to gain a better understanding of when, how, and why accommo-
dation occurs online.”Naturally, researchers began to assess whether CAT could help to better understand CMC, despite its
lack of real-time reactions and its limited sets of communicative cues. From that time to this, however, “.research on CMC is
second only to culture/ethnicity context in terms of the proportion of CAT-based quantitative research inquiries”published
between 2010 and 2015, constituting 25% of studies in that period (Soliz and Bergquist, 2016: 64).
Griffin (2009:397–398) asserted 15 years ago that CAT had impressive generalizability and “has morphed into a
communication theory of enormous scope”that “can be beneficially applied to any situation where people from different
groups or cultures come into contact.”We find that the theory’s applicability in mediated communication channels that were
unheard of at the theory’s inception, that connect us globally, supports Griffin’s assessment to a significant extent. This may be
even more strongly the case if CAT helps to explain communication with even newer technologies, including human-machine
communication (HMC).
4.1. Communicating through technology
Research applying CAT to mediated contexts in the late 1990s began exploring whether and to what extent accommo-
dative behaviors take place in non-live, asynchronous interactions, such as voicemail and CMC. In fact, Buzzanell et al. (1996:
330) expressly articulated the need for investigation of “accommodation in less information rich contexts,”and they were
among the first to apply CAT to mediated interactions. Their research found that voicemail users with lower status (students)
tend to accommodate to higher status individuals (professors), but not vice versa. This established that accommodation can
and does occur when communication is mediated and asynchronous, that is, even when communicators are not physically
present to one another.
A great deal of CAT research has focused on micro-level speech and language behaviors that stimulate accommodation,
and in CMC, many of these language qualities are especially apparent and concretely displayed. Because CMC is often limited
to language and temporal cues alone, without visual or audio cues of interactants, linguistic cues to identity and group
membership emerge particularly strongly, and accommodation takes place in CMC over the course of message exchanges.
Ample research demonstrated that, despite asynchronous interaction among interlocutors who do not see or hear one
another in plain-text CMC environments, receivers decode signals from others and then compensate or reciprocate, often
following social norms. Both Thomson et al. (2001) and Bunz and Campbell (2004) examined accommodation in e-mail.
Participants in the latter study accommodated both lexically and structurally to politeness norms in e-mails (see also Scissors
et al., 2009). More recently, Gibson (2019) found that moderated Reddit forums tend to contain a greater level of self-
censoring than what is apparent in unmoderated, free speech forums. That is, in the presence of moderators who can
remove participants’message postings, Reddit users are more likely to engage in accommodation through self-censorship
than in non-moderated forums where hostile political talk is not removed. Indeed, the timing of when, how, and why in-
dividuals (sometimes strategically) reply or not to computer-mediated messages is an interesting empirical question in terms
its interpersonal consequences, as well as with respect to organizations’relationships with customers, in management and in
marketing (Liu et al., 2022).
Having established the existence of accommodation in CMC generally, attention has shifted to identifying which mediated
situations lead to different forms of accommodation and convergence, specifically (see Stage 1). Fullwood et al. (2013) found
convergence in terms of emoticon use when flirting in online chatrooms (see also Marko, 2022). In addition to using emo-
ticons more similarly to others when flirting, there may be convergence in the time it takes for someone to respond to a
message. Additional research has also examined convergence in terms of conversational and linguistic styles online in social
media contexts (e.g., Tamburrini et al., 2015;Jakic et al., 2017;Liebrecht and van Hooidonk, 2022; see also, Zahn et al., this
Issue), online brainstorming (e.g., Wang and Fussell, 2010), text messaging and the use of textisms (e.g., Adams et al., 2018; see
Coolidge et al., and Adams and Miles, this Issue), and phone calls (e.g.,
Sturm et al., 2021). It should be noted, however, that
there may be a maximum threshold in which convergence can occur. That is, Riordan et al.’s (2012) and Brinberg and Ram
(2021) and found ceiling effects in which zero-history interactants as well as romantic partners stopped converging to one
another online at a certain point.
Several studies applying CAT to CMC focus on the positive effects of convergence, in terms of impression development,
rapport, and even group outcomes. For example, accommodation over e-mail leads to more positive perceptions of the
communicator (Crook and Booth, 1997). Similarly, Scissors et al. (2009) found that lexical mimicry increases trust among
interactants in instant messaging, including among online negotiators (Swaab et al., 2011). Additionally, accommodating to
another’s linguistic style can increase cohesiveness within small groups that communicate via plain-text CMC (Gonzales et al.,
2009). Likewise, Liao et al. (2021) found that behavioral compliance is greater, in the form of a monetary donation to a charity,
when strangers accommodate to each other’s expressions and linguistic styles during mediated interaction.
On the flip side, convergence can also lead to negative outcomes in some forms of CMC. For instance, Muir et al. (2017)
found that when high-power individuals accommodated toward their low-power counterparts, perceptions of them were
more negative than wereperceptions of high-power individuals who did not engagein accommodation. Similarly, Liao et al.’s
(2018) results suggest that CMC partners who accommodate to others are perceived as having less expertise than non-
accommodating partners. In fact, Zimmerman and Jucks (2018) found that experts who used medical jargon in online
H. Giles et al. / Language Sciences 99 (2023) 1015718
forums were perceived as more competent than those who did not, even though medical jargon is often seen as not ac-
commodating to patients. Interestingly, Stein (2023) found that the excessive, potentially overaccommodative use of emojis
in international interactions leads to more negative interpersonal outcomes.
Other CMC research that utilizes CAT focuses on divergence among communicators (see Phase 2). Christopherson (2011),
for instance, found that when patrons and librarians interact with each other through virtual reference services, librarians
diverge by using more formal language than their patrons do. This likely serves to aid in differentiation between high-status
and low-status individuals, as suggested in earlier CAT work (see Stage 2). In addition to power differentials, divergence can
also occur as a function of the words being adopted. Danescu-Niculescu-Mizil et al. (2011), for instance, found that divergence
among Twitter users is more likely to occur when tweets contain certain and positive language than when they contain more
tentative or negative language.
4.2. Communicating with technology
In addition to the emergence and advancement of communication mediated through technology, the last decade has also
seen the emergence of communication with technology. That is, we are interacting with social robots in increasingly
numerous contexts, in the workplace, healthcare, entertainment, and education (see, for example, Ahmad et al., 2017;Richert
et al., 2018;Hildt, 2021;van Pinxteren et al., 2023). In introducing their fourth volume of the journal Human-Machine
Communication (HMC), Fortunati and Edwards (2022:8)defined HMC as a form of communication between humans and
digital interlocuters, or machines. They proposed that these machines act as human surrogates, simulating humans’“bio-
logical and psychological abilities to formulate, issue, and receive a message and on the basis of this message, to elaborate
another message.”
Edwards et al. (2019) point out that previous research in the “computers are social actors”(CASA) paradigm demonstrates
that individuals tend to assign human agency and even human stereotypes to artificial intelligence (AI) and computers. In fact,
individuals like robots more, and ascribe them with intentions and beliefs, when robots appear to be more humanlike
(Marchesi et al., 2022). Schreibelmayr and Martina (2022), for instance, found that robots with more humanlike voices were
rated as more pleasant and less eerie than were robots with less humanlike voices. Given this, it is only natural that CAT’s
scope has begun to expand into the realm of HMC (see Cohn et al., this Issue).
Like that of CMC research, research focused on how we communicate with technology has concerned itself with how we
accommodate, specifically converge, toward technological partners. This is an exciting endeavor; HMC research holds the
opportunity to uncover to what extent CAT applies to communication not just among humans, but between humans and
other non-human agents. Von der Pütten et al. (2011), for instance, was one of the first HMC scholars to expand CAT’s scope by
examining the number of words in the self-disclosures people uttered to virtual agents, represented by avatars, as in-
terviewers. When interviewees face more talkative digital agents, they produced greater self-disclosure, accommodating to
the number of words spoken by the avatar. There is also evidence to suggest that humans engage in conceptual alignment
when communicating with robots. That is, Cirillo et al. (2022) found that when social robots default to semantic category
names (e.g., “fruit”) as opposed to more basic-level object names (e.g., “banana”), humans did the same. These results may be
the first to show that conceptual alignment occurs not only in human-to-human interaction, but that humans align at the
conceptual level even to technological agents. In fact, Shen and Wang (2023) found that people are more likely to align with a
computer than they are to another human in terms of lexical use.
In many ways, research examining accommodation in HMC has highlighted how humans accommodate totheir partners,
whether human or machine, similarly. Bergmann et al. (2015), for example, suggests that when engaging in online simula-
tions, participants employ similar lexical choice and gesture handedness whether their online partner is human or artificial.
More recently, Cohn and Zellou (2021) examined whether communicators interact with artificially intelligent assistants (i.e.,
Amazon’s Alexa) as they do with other humans. They found that when a communicator’s voice is misrecognized, whether it
be by Alexa or another human, they accommodate by producing more distinct vowel backing and by being louder and slower.
Within this same context, Mengesha et al. (2021) report that artificially intelligent assistants often rely on automated speech
recognition, which tend to prioritize linguistic styles of white speakers. African-American participants in this study reported
having to work around the issue of their machine assistant misrecognizing what they said by “accommodating their speech to
meet the limits of voice technology”(p. 7). These findings, taken together, suggest that interpersonal accommodation occurs,
even when communicating with technology.
Finally, evidence seems to suggest that whether humans are communicating with other humans or technological agents,
and whether they are doing so via FtF means or via CMC, the effects of accommodation are similar. Fujiwara et al. (2022), for
instance, found that when humans and avatars had greater synchrony during interactions involving negotiation, humans
reported greater levels of affiliation toward to the avatar. Similarly, Biancardi et al. (2021) found that adaptive, or accom-
modative, digital agents are perceived more positively by humans than their non-adaptive counterparts, which seems to
mirror the effects of human-to-human accommodation.
As of this writing, new and more advanced artificial intelligence systems are available to and useable by ordinary persons
via Web access, through chat interfaces. So-called large language models like ChatGPT are revolutionary not only because of
their immense power to synthesize information, but because anyone can use them by asking simple, natural language
questions. Not only that, one can make requests to be told about a topic, using various parameter specifications, and even to
H. Giles et al. / Language Sciences 99 (2023) 101571 9
have the output appear in certain narrative styles. Asking ChatGPT to “tell me about communication accommodation theory,
in the style of a cowboy”returns a not-altogether-poor introduction:
Now, picture this: you’re ridin’through the Wild West, and you come across a bunch of folks with different ways of
speakin’. Some drawl their words, some talk fast like a tumbleweed in the wind, and some got accents thicker than
molasses. Now, the Communication AccommodationTheory, or CAT for short, is like wranglin’all them diverse ways of
speakin’into one corral. It’s a theory that explains how folks adjust their talkin’style to match the folks they’re
communicatin’with. It’s all about adaptin’your language to make it easier for others to understand and connect with
you.
You see, in the wild west of communication, there’s two main ways folks can accommodate: they can either converge or
diverge. Convergin’is when you rope in your talkin’style to match the other person’s. It’s like speakin’the same lingo,
so you’re both on the same dusty trail. This here helps build rapport and shows respect for the other person’s way of
communicatin’. On the other hand, divergin’is when you let your own language ride off into the sunset, differin’from
the other person’s style. It’s like breakin’away from the herd, makin’a statement. Divergin’can be used to assert your
identity or show a power dynamic in play, sorta like a lone wolf howlin’in the night. (OpenAI, 2023)
Perhaps goofy, the ChatGPT response is clearly accommodative. But to what? Writing in the style of an extreme
Hollywood-style caricature probably does not match the conceptual style of any real humans, and its potentially over-
accommodative exemplification of cultural stereotypes is cause for concern.
4.3. Future stage 7 agenda and research questions
As we suggested, above, the significance of Stage 7 is not just the application of CAT to technological phenomena and
contexts that did not yet exist when the theory was first conceived. Rather, it is for Phase 7 to ask big questions that can
prompt theoretical and philosophical growth about relationships, communication, and ontology. For instance, the application
of CAT to plain-text CMC, as we have mentioned, showed enormous breadth and scope of the theory, in its applicability to
interactions comprised of pure language, sans the nonverbal and co-present attributes that originally guided SAT, CAT, and
many other communication theories.
Application of CAT and CAT principles to HMC also offers puzzles that strike at the heart of our theoretical and ontological
assumptions. It prompts us to ask, for instance, why do we accommodate to machines? Because we like them? Because we
identify with them as members of the same social group? Do we want to appear favorable to them? Are we afraid of them?
These traditional bases for affinity to a person, in CAT research, do not seem to make as much intuitive sense in the HMC
context. Is it really accommodation after all, whenwe tailor our speech and language to what a virtual agent can understand?
Or is it simply a matter of verbally learning what buttons to press? And if that is accommodation, was it also accommodation
when we finally learned to program our video recording machines (or when we cursed at those stupid machines when they
still did not do what we wanted)? HMC can help define boundaries of CAT and vice versa.
Consideration of CAT can help prompt re-examination of other theories in HMC, as well. For instance, CASA theory,
described above, is routinely drawn upon to predict that humans relate to computers and robots as they do to other humans.
On that basis, CASA researchers often posit that we like computers and robots who seem to act as humans do. But CAT re-
minds us that we must ask, as which other humans? The humans to whom we converge, or the humans from which we
diverge? The humans we like, or the humans we dislike? CASA’s research seems often to forget what CAT research knows only
too well: that there are people whom we do not want to resemble or mimic or accommodate. That to dislike a human, or a
machine, may not be the same as to dehumanize a human or to fail to experience a robot as a social actor. One of the chief
legacies of CAT is that liking and disliking predict a variety of specific alternative behaviors and perceptions. In the context of
HMC research, CAT may be said to suggest, the assessment of liking and of humanization will be more meaningful if these
constructs are employed orthogonally rather than in a unidimensional fashion.
While a plethora of exciting challenges and questions can be addressed as CAT continues forward in its seventh Phase - and
many of these will also guide Stage 1 through 6’s continued development –we raise just three below. First, how do
communication adjustments differ in human-to-human versus human-machine interaction, and what is the salience of
intergroup cues? Given that social interaction is no longer limited to interaction between humans, but may also include
interaction with social robots and machines onto which we project human stereotypes, another challenge becomes under-
standing whether, and to what extent, humans adjust or adapt their communicative behaviors to each other the same as they
do when interacting with machines. A closely related challenge will be parsing out the salience of various cues, whether a
reflection of interpersonal identity or intergroup membership. That is, it is not yet clear if we assign identity and intergroup
cues to communication technologies and machines the same way we do to humans. Greater focus to these principles could
help to build upon CAT in CMC and HMC, particularly in terms of CAT Phase 2 regarding intergroup communication.
Second, how can machines and robots detect and accommodate to human emotion and behavior? As HMC continues to
advance, it is extremely important for developers to consider how they can build machines in such a way that allows them to
detect, and then accommodate to, human emotions and behavior (e.g., Gratch et al., 2013). Uslu et al. (2021) suggest that
interactions between service providers and customers/clients can be optimized when they are sensitive to their customer’s
moods –and adapt their own behavior accordingly. Though their research focuses on human-to-human interaction, it is
H. Giles et al. / Language Sciences 99 (2023) 10157110
increasingly common to interact with robot or machine service providers (for review, see Henschel et al., 2021), and mood
adaptation might be one way in which interactions can be improved. Attention to this challenge could also help to further
develop CAT Phase 3, pertaining to the subjective nature of accommodation.
Third and finally, how canwe better engage CAT in CMC and HMC research? McGlone and Giles (2011: 224) asserted that
one of the promising challenges to move CAT research forward will be analytically to link “with the growing number of
studies in social psychology on mimicry and the chameleon effect.that seem to be very closely underpinned by CAT
principles.”It seems as though another, similar challenge will be to do so with the growing number of studies on linguistic
accommodation (e.g., Liao et al., 2021), synchrony (e.g., Fujiwara et al., 2022), lexical and gestural alignment (e.g., Bergmann
et al., 2015), linguistic convergence (e.g., Mieczkowski, 2021) in both CMC and HMC that seem to be built on CAT principles,
using terms that are consistent with the theory, without directly referencing CAT theory explicitly (e.g., Kelly et al., 2022). By
attending to and synthesizing these related works, appearing in ever newer human to human and human to machine settings,
not only Phase 7, but each Phase of CAT will continue to be further defined and nuanced.
5. Conclusions: “Principles of Accommodation”revised and expanded
Currently, CAT rests on a number of key Principles that have been revised and elaborated over the years (see also, Coolidge,
this Issue). In this final section, we continue this iterative chain of refinements and expansions (after Dragojevic et al., 2016;
Soliz et al., 2022) in light of developments documented above and elsewhere in this Special Issue. For the sake of parsimony,
not every intricacy or nuance could have been, or likely should be, evident in what are now core 11 CAT Principles, most of
which are testable and, hopefully, will be useful in inspiring future empirical and theoretical work. These are:
Accommodative norms, competences, resources, and energies are fundamental characteristics of social interaction and
communication in social media and those involving other new technologies, allowing the individuals and groups
involved to manage variable conversational goals, identities, and power differentials between and among themselves;
People have expectancies about what constitutes appropriate and desirable accommodation in FtF and mediated
contexts that are influenced by an array of interpersonal, intergroup, biological, cultural, and sociohistorical dynamics;
The nature of communication accommodation during an interaction is a product of people’s various motivations for, and
abilities as well as willingness to, adjust to certain relationally-defined others as well as the topics that unfold and are
managed;
When people wish to reduce social distance during a FtF and mediated interaction, they are more likely to engage in
accommodative acts that they believe will facilitate this outcome;
Identity accommodation towards individuals’known or supposed group identities by recognizing, acknowledging, and
affirming them can lead to improved attitudes towards the social group represented by, as well as the reduction of,
stereotypes about them;
When accommodations are optimally-calibrated in terms of rates, magnitudes, and number of communication features
in FtF and mediated contexts, they can produce a variety of benefits, including decreased social distance, enhanced
relational rapport, and improvements in mutual understanding and satisfaction with the ongoing interaction and those
following on from it.
When people wish to increase social distance during a FtF and mediated interaction, they are more likely to engage in
nonaccommodative behaviors that they believe will facilitate this outcome and that can, arguably, be attributed by them
as successful failure;
When accommodation is poorly-calibrated (including being under- or over-accommodative), it can produce a variety of
negative cognitive and affective outcomes. These include increased social distance and dissatisfaction with allied re-
ductions in mutual understanding within the interaction, FTF or mediated, as well as lead to a range of others’mis-
attributions, miscommunications, and social and communication failures;
While accommodation and nonaccommodation can have direct effects on others’(as well as our own) cognitions, affect,
and behaviors, sometimes accommodative moves act more indirectly triggering mediating mechanisms which, in turn,
shape or are responsible for the social consequences;
Accommodation and nonaccommodation can occur not only in response to pre-interactional social identities but may,
subsequently, arise in discourse from which they are then created and become situationally salient;
Dilemmas of whether to accommodate or nonaccommodate –in the short-term over a sequence of encounters with the
same people or in the longer-term across generations - can arise for a range of reasons that are associated with various
risks and uncertainties or by the perceived diversity of communication ideologies in a small group or public setting.
These Principles, presented as a collective, exemplify the evolutionary breadth, depth, and range of the theory. It may be
for these reasons that CAT’s status has generously been described as “one of the most influential behavioral theories of
communication”(Littlejohn and Foss, 2005: 147). Indeed, and while appreciating that talk about accommodative commu-
nication has –as illustrated in this article’s opening and princely quote –been around for centuries (see Meyerhoff, this Issue),
CAT has enjoyed a robust influence in numerous fields of study and, as of this writing, “communication accommodation
theory”returns over 288,000 references on Academia.edu (with well over a thousand being added each week). Furthermore,
H. Giles et al. / Language Sciences 99 (2023) 101571 11
until recently, CAT researchers focused on FtF interaction between humans, although its scope now extends to CMC, HMC, and
even communication among animals. Over the next five decades, we expect to see even greater attention paid to accom-
modative strategies being engaged through and with technologies, as articulated in the seventh Phase of CAT research and,
inevitably, new and stimulating stages over the next 50 years.
Data availability
No data was used for the research described in the article.
Acknowledgements
We are grateful to our Epilogist/Discussant, Miriam Meyerhoff, who generously helped broaden our sociolinguistics
coverage, and to Chad and Autumn Edwards for their assistance in crafting Phase 7 as it pertains to human-machine
communication research.
Appendix A. Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.langsci.2023.101571.
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