ArticlePDF Available

Respiratory feedback in the generation of emotion

Taylor & Francis
Cognition and Emotion
Authors:

Abstract and Figures

This article reports two studies investigating the relationship between emotional feelings and respiration. In the first study, participants were asked to produce an emotion of either joy, anger, fear or sadness and to describe the breathing pattern that fit best with the generated emotion. Results revealed that breathing patterns reported during voluntary production of emotion were (a) comparable to those objectively recorded in psychophysiological experiments on emotion arousal, (b) consistently similar across individuals, and (c) clearly differentiated among joy, anger, fear, and sadness. A second study used breathing instructions based on Study 1's results to investigate the impact of the manipulation of respiration on emotional feeling state. A cover story was used so that participants could not guess the actual purpose of the study. This manipulation produced significant emotional feeling states that were differentiated according to the type of breathing pattern. The implications of these findings for emotion theories based on peripheral feedback and for emotion regulation are discussed.
Content may be subject to copyright.
Respiratory Feedback 1
Running Head: RESPIRATORY FEEDBACK IN EMOTION
Respiratory Feedback in the Generation of Emotion
Pierre Philippot, Gaëtane Chapelle
Université de Louvain, Louvain-la-Neuve, Belgique
Sylvie Blairy
Université du Québec à Montréal, Canada
Authors' notes
The studies presented in this paper have been made possible by a grant from the "Fonds
National de la Recherche Scientifique de Belgique" 1,5,041,94F.
The authors appreciate helpful comments of Robert S. Feldman, Ursula Hess, Arvid
Kappas and two anonymous reviewers on earlier drafts of this paper.
Correspondence regarding this paper should be addressed to Pierre Philippot who is at
Faculté de Psychologie, Université de Louvain, place du Cardinal Mercier, 10, B- 1348
Louvain-la-Neuve, Belgique. Electronic mail may be sent via Internet to
"Philippot@clis.ucl.ac.be".
Respiratory Feedback 2
Abstract
This article reports two studies investigating the relationship between emotional
feelings and respiration. In the first study, participants were asked to produce an
emotion of either joy, anger, fear or sadness and to describe the breathing pattern that fit
best with the generated emotion. Results revealed that breathing patterns reported
during voluntary production of emotion were (a) comparable to those objectively
recorded in psychophysiological experiments on emotion arousal, (b) consistently
similar across individuals and (c) clearly differentiated among joy, anger, fear and
sadness. A second study used breathing instructions based on Study 1’s results to
investigate the impact of the manipulation of respiration on emotional feeling state. A
cover story was used so that participants could not guess the actual purpose of the study.
This manipulation produced significant emotional feeling states that were differentiated
according to the type of breathing pattern. The implications of these findings for
emotion theories based on peripheral feedback and for emotion regulation are discussed.
Respiratory Feedback 3
Respiratory feedback in the generation of emotion
It is commonly agreed that emotion is best conceived of as a multi-component
process whose most central components include appraisal, facial expressions,
physiological responses, and subjective feeling states (i.e., Buck, 1985; Ekman, 1984;
Russell, 1991; Scherer, 1984). One of the oldest debates in emotion psychology
addresses the specification of the relations existing among these different components.
Historically, this debate can be traced back to William James' (1884) peripheral theory
of emotion, which stated that subjective feeling states were merely the
phenomenological result of body state. This position was vigorously counter-attacked
by Cannon (1927) who attempted to prove that body changes followed subjective
feeling states. As reviewed at the occasion of the centennial anniversary of William
James’s (1890) Principles of Psychology (Personality and Social Psychology Bulletin,
1990), this theoretical debate is far from being closed.
Presently, three main conceptions of the relationship between emotional feelings
and body states can be found in the literature. One conception--that we will label the
“undifferentiated arousal model”--states that autonomic responses increase as a function
of emotional intensity but that their pattern is undifferentiated across emotions
(Reisenzein, 1983; Schachter, 1964). At the functional level, the undifferentiated
arousal model predicts that the perception of emotional intensity can be influenced by
arousal intensity (i.e., that individuals’ perception of the intensity of their emotional
states is not only a function of their evaluation of the situation but also of the intensity
of their state of arousal). Research in this area has focused on the effect of the
manipulation of undifferentiated arousal on the intensity--but not on the quality--of
subjective feeling state. As reviewed by Reisenzein (1983) or Kirouac (1995), the
strong and consistent finding from this line of research is the intensification of the
emotional feeling state following exposure to an arousing stimulus, an effect known as
"activation transfer" (Zillmann, 1979, 1983). From this perspective, to influence
subjective feeling intensity, arousal must be (a) consciously perceived and (b)
subjectively attributed to the impact of the emotional situation.
Respiratory Feedback 4
Another conception, which we will label the “cognitive appraisal model,”
proposes that body changes in emotion are a function of cognitive appraisal (e.g.
Scherer, 1984; Pecchinanda & Smtih, 1996; Smith & Kirby, 2000) or of the direct
output from appraisal, action readiness (Frijda, 1986). More precisely, this model
suggests that the activation of a specific appraisal dimension would induce specific
body changes. For instance, novelty appraisal would induce a pause in breathing and a
deceleration followed by an acceleration of heart rate. The pattern of body changes with
a specific emotional state would be the sum of the changes induced by each appraisal
component. As different feeling states result from different appraisal patterns, they are
also characterized by different patterns of body changes. In the cognitive appraisal
model, the role played by body changes in the elicitation of feeling state is less
explicitly stated and definitely marginal, the central role being played by cognitive
appraisal.
A third conception, which we will label the “central network model” states that
emotions are centrally organized by neural or cognitive networks that connect the
different emotion components together. For some, these networks are innate neural
structures (e.g., Ekman, 1999; Izard, 1979; Tomkins, 1980); for others, they are
cognitive networks or schemata that develop as a function of individuals’ experiences
(e.g., Lang, 1979, 1984; Philippot & Schaefer, 2001; Teasdale, 1996). Though the
theories we gather under the central network model differ in many ways, they all share
similar features with respect to the patterning and function of body changes in emotion.
First, they all postulate that patterns of body changes are differentiated according to the
type of emotion experienced, even if cognitive network theories predict more
idiosyncratic patterns than theories postulating innate neural structures. Second, they
posit that the activation of the body state typical of an emotion elicits that emotion, a
process known as peripheral feedback. Third, they suggest that peripheral feedback
occurs automatically, at an implicit level (i.e., without awareness of the process;
Cacioppo, Berntson & Klein, 1992; Damasio, 1994; Teasdale, 1996). The implication
Respiratory Feedback 5
of these three postulates is that a specific emotion could be induced by manipulating
one’s body state, outside of this person’s awareness of the process.
At the empirical level, the central network model is supported by research
addressing the relation between facial expression and subjective feeling states, the
research area investigating the "facial feedback hypothesis." A wealth of evidence has
documented that manipulating facial expression affects feeling state (Laird, 1984;
Manstead, 1988; Matsumoto, 1987; McIntosh, 1996). The effect size of the so-called
facial feedback is generally small (around 13% of explained variance) but reliably
significant. The impact of facial muscle manipulation has been extended to
physiological changes, such as heart rate or skin temperature (Hess, Kappas, McHugo,
Lanzetta & Kleck, 1992; Kappas, 1989; Levenson, 1992; Levenson, Carstensen,
Friesen, and Ekman, 1991; Levenson, Ekman & Friesen, 1990). Further, Stepper and
Strack (1993) have documented that manipulating posture also has an impact on
subjective feeling states and affects later judgment of valenced material, extending
previous findings from Duclos, Laird, Shneider, Sexter, Stern, and VanLighten (1989)
showing that posture affects mood. Overall, there exists empirical evidence that
manipulating facial or postural muscles affects subjective feeling states, and possibly
physiological states, outside of individuals’ awareness of the process. Still, the
underlying mechanism of facial feedback is the object of a controversy (e.g., Izard,
1990; Laird, 1984; McIntosh, 1996) and the interpretation of the effect of facial
manipulation on physiological changes in terms of facial feedback has been questioned
(e.g. Boiten, 1996; Zajonc & McIntosh, 1992).
We propose that three questions must be addressed to further our understanding
of the relationship between body state and subjective feelings: First, are subjectively
differentiated feeling states characterized by different body states? Second, does body
state influence the intensity and/or the quality of subjective feelings? Third, does this
influence operate implicitly (i.e., outside of individuals’ awareness of the process), or
explicitly? This latter question is particularly important as explicit knowledge about
body changes may not relate to actual body changes (Rimé, Philippot & Cisamolo,
Respiratory Feedback 6
1990; Philippot & Rimé, 1997) and as several recent theories issued from the central
network model are based on a distinction between implicit and explicit processing (e.g.
Damasio, 1994; Teasdale, 1996; for a review see Philippot & Schaefer, 2001). The
undifferentiated arousal model postulates that emotional body states are undifferentiated
and have an explicit impact on feelings intensity but not quality. The central network
model posits that emotional body states are differentiated and influence the quality of
feeling states and that these effects can occur at an implicit level. The cognitive
appraisal model is vague and unspecific about whether and how changes in
physiological patterns might influence emotional feeling states.
At the empirical level, the first question--the peripheral differentiation of
emotion--is still the object of a controversy, with different reviews reaching different
conclusions (Levenson, 1992; Stemmler, 1992; Zajonc & McIntosh, 1992). With
respect to the second and third questions, the activation transfer research mentioned
above has shown that arousal can explicitly affect the intensity of feeling state,
providing that it is attributed to an emotional cause; the facial and postural feedback
research has demonstrated that muscular feedback can influence subjective feeling state
outside of individuals’ awareness of the process. Yet, despite its theoretical importance,
the possibility of a visceral--and not solely muscular--feedback on the quality of
emotional feelings has not been pursued at an experimental level. From this
perspective, physiological state should be manipulated, not in intensity but in quality, in
order to observe the impact of such manipulations on the nature rather than the intensity
of feeling states. Further, it should be established whether this effect occurs without
individuals explicitly using body state as a source of information to determine their
emotional feeling state. The present studies aim at exploring these neglected questions.
Specifically, they will examine the effects of respiration manipulation on
emotional feeling state. We choose to manipulate body state through respiration for
four reasons. First, like facial musculature, breathing is under both voluntary and
automatic control, allowing for the same types of manipulation as the ones commonly
used in facial feedback research. Second, clinical evidence has repeatedly confirmed
Respiratory Feedback 7
relations between breathing and at least one feeling state, anxiety (e.g. Beck & Scott,
1988). Moreover, these studies have also demonstrated the clinical efficacy of
respiration manipulation in reducing anxiety through breathing retraining. Third, a
recent literature review suggests that reliable respiratory differences might be found
between positive or negative feeling states, as well as tense or relaxed feeling states
(Boiten, Frijda & Wientjes, 1994). Fourth, while they can easily be achieved non
invasively, respiration changes affect many physiological responses, such as cardio-
vascular changes or skin conductance. They thereby constitute an easy but potent
avenue to manipulate the whole physiological state of the organism.
In order to induce specific emotions through respiratory manipulations, one has
to determine which are the respiratory patterns that correspond to these emotions. One
source of such information is constituted by the results of psychophysiological research
that observed respiratory changes during emotion induction. Boiten et al. (1994) have
reviewed the psychophysiological literature pertaining to respiratory changes occurring
during emotion. They note that there is very little empirical work on the topic and that
the available studies are fraught with methodological shortcomings. As a result, they
conclude that “it is difficult to draw specific and detailed conclusions concerning the
influence of emotion upon respiration” (Boiten et al., 1994, p. 119). Yet, they were able
to identify some consistency across studies that can be summarized as four types of
breathing related to emotional state. Fast and deep breathing was associated with
excitement, such as in anger, fear, or sometimes even joy. Rapid shallow breathing was
typical of tense anticipation, including concentration, fear, and panic. Slow and deep
breathing was most often observed in relaxed resting state. Finally, slow and shallow
breathing was associated with states of withdrawal and passiveness, such as depression
or calm happiness.
As can be seen from these descriptions, few of the four types of breathing
identified can be unequivocally associated with a specific emotional state. Two remarks
concerning these observations are of importance. First, that psychophysiological
research has not identified specific breathing patterns differentiating basic emotions
Respiratory Feedback 8
does not necessarily means that such patterns do not exist. This lack of definitive
evidence maybe due to under-sophisticated recording of breathing that most often
measures only frequency (see the discussion by Boiten et al. [1994] in this respect) or to
problems in inducing emotion in psychophysiological experiments (see the discussion
of this point by Stemmler [1989]). Second, although no unequivocal correspondence
between breathing patterns and emotions can be drawn, these descriptions suggest that
(a) fast and deep breathing might characterize anger, (b) rapid shallow breathing might
characterize fear, (c) slow breathing whether deep or shallow might characterize a state
of relaxed happiness, and (d) slow and shallow breathing might characterize sadness.
These propositions have to be considered cautiously, as, for instance, pattern (a) might
also characterize joyful or fearful excitement and pattern (d) might also characterize
calm happiness. In sum, although suggestive, the results of Boiten et al.’s review do not
provide an empirical basis precise enough to construct breathing instructions specific to
basic emotions.
Another source of information regarding emotional breathing patterns pertains to
previous studies investigating whether breathing manipulations induce differentiated
emotional feeling states. The only existing work as been conducted by Bloch,
Lemeignan, & Aguilera-T (1991) who propose that each of six emotions they qualify as
basic (joy, sadness, anger, fear, erotic love, and tenderness) is characterized by a
specific facial, postural and respiratory pattern they labeled “emotional effector
pattern.” The respiratory components of the patterns were derived from visual
inspection of polygraphic records of either actors expressing specific emotions or
participants relieving these emotions under deep hypnosis (Bloch [1994, personal
communication], the original report [Bloch & Santibanez, 1972] cannot be obtained).
The patterns obtained with this procedure differ in several respects from the
observations of Boiten et al (1994). Bloch’s et al. (1991) joy pattern, referring to
laughter, (quick and deep nasal inspiration, followed by oral expiration with small jolts)
is quite different from the pattern associated with calm happiness by Boiten, although it
presents some similarities with Boiten’s pattern of excitement, but for inspiration only.
Respiratory Feedback 9
Bloch’s et al. anger pattern (regular, quick, and deep nasal breathing) corresponds to our
prediction derived from Boiten et al. With respect to fear, Bloch et al. propose a quick
and shallow inspiration through the mouth, followed by a pause and a long expiration.
In contrast, our prediction based on Boiten et al. is that fear is characterized by shallow
and fast breathing. Finally, Bloch’s proposition for sadness (quick nasal inspiration
with jolts followed by a quick expiration through the mouth) does not correspond to our
prediction derived from Boiten et al. (i.e., slow and shallow breathing).
In their work, Bloch et al. (1991) have demonstrated that extensively training
actors to reproduce these emotional effector patterns results in the induction of the
corresponding emotion feeling state. Unfortunately, in these studies, participants were
explicitly (a) told that the aim of the training was to produce emotion through
respiratory, facial, and postural changes, and (b) informed of which emotional effector
pattern was intended to induce which emotion. Hence the effect of these manipulations
on feeling states may simply be the result of experimenter's demand. Further, breathing
was not manipulated independently from posture or facial expression, hence preventing
estimation of the specific impact of each source of peripheral feedback.
In order to confront the divergence between Bloch’s patterns and those
suggested by Boiten, and given the fact that Bloch et al. (1991) report positive results,
we examined in a preliminary study whether the respiratory component of their
emotional effector patterns is in itself sufficient to induce a specific emotional feeling
state. We replicated the study of Bloch et al. (1991) for four emotions (joy, anger, fear,
and sadness) with two major changes. First, in order to avoid experimental demands,
we used a procedure in which participants were oblivious to the fact that the actual topic
of the study was emotion or emotion induction. Second, in order to disentangle the
effect of facial and postural feedback from those of a possible respiratory feedback, we
only manipulated breathing, keeping facial expression and posture constant. The results
revealed that participants tended to report the target emotion in the joy and anger
breathing condition1, F(9,153) = 1.97, p<.10.
Respiratory Feedback 10
In sum, the findings of Bloch et al. (1991) are only partially replicated in the
breathing conditions of joy and anger. There are three possibilities accounting for these
weak results. First, respiratory feedback may have no effects on emotional feeling
states. Second, it is possible that respiratory feedback alone is not a sufficient condition
to induce emotional feeling state; It may additionally require the corresponding facial
and postural pattern. Along this line, Bloch (personal communication, July 16th, 1994)
argues that not only the whole respiratory, facial and postural pattern needs to be
activated, but also that no emotion can be induced if the “correct “ pattern is not exactly
reproduced. (This notion of correctness has also been debated in the context of the
facial feedback hypothesis, see for instance, McIntosh [1996].) Finally, a third
possibility is that the respiratory instructions used by Bloch et al. (1991) are not the
most appropriate to induce discrete emotions. Indeed, it is unclear how Bloch et al.’s
respiratory patterns were originally established (i.a., no statistical analysis are reported
and the original report [Bloch & Santibanez, 1972] cannot be obtained). Further, the
breathing patterns for joy attempts to mimic laughter, while the one for sadness attempts
to mimic crying. While expressive emotional components such as laughter or tears tend
to be associated with joy and sadness respectively, this does not necessitate that they
determine the breathing patterns associated with these emotions.
Study 1
Study 1 was designed to investigate whether different, more precise and accurate
breathing instructions than those used by Bloch et al. (1991) could be established. It
consisted in explicitly asking participants to generate emotional states and to identify
and report the corresponding breathing patterns. These subjective reports were to be
compared with the results of Boiten’s et al. (1994) review of the studies that
investigated objective respiratory parameters. Our expectations were that (a) the
information obtained from subjective reports would offer more details and a greater
differentiation among emotions than the information issued from Boiten’s et al. review,
and (b) the subjective reports would be concordant with the breathing patterns derived
from Boiten et al., the latter thus validating to some extent the former. The rationale
Respiratory Feedback 11
was that if, and only if, predictions (a) and (b) were met, Study 1’s results could provide
breathing patterns potentially able to induce specific emotions. However, this
possibility would be void if either of the two predictions were not met.
Participants were invited to produce four emotional feeling states (of joy, anger,
fear, and sadness), following a procedure adapted from the one described by Hess et al.
(1992). When participants felt that they had reached the desired state, they were invited
to describe their breathing in a questionnaire investigating several respiratory
parameters.
Method
Participants and procedure
Eleven female and 12 male students volunteered to take part in the study. They
were aged between 18 and 29 years (mean age = 23.8) and they participated individually
in the experiment. The experimenter told them that the purpose of the study was to
investigate how emotions could be expressed via respiratory patterns. They were
simply instructed to produce an emotion--either joy, anger, fear, or sadness, in a random
order--by modifying their respiration. They were also encouraged to maximize the
intensity of their emotions and they were told that they could help themselves with
personal memories or fantasies. Participants performed the experimental trials standing
up alone in a laboratory room. The experimenter was in an adjacent room and contact
was maintained with an interphone system. When participants judged themselves to
have reached their best production of the target feeling state, participants reported in a
questionnaire the characteristics of the specific respiratory pattern they had performed to
express the emotion and, on a 7-point scale, the degree to which they felt they were
successful in producing a breathing pattern corresponding to that emotion.
As a manipulation check, participants were also asked to report on the French
version of the Differential Emotion Scale (Philippot, 1993) the intensity of the emotion
feeling states they had experienced during the trial (from 0: no emotion at all to 6: the
most intense emotion possible). This scale included the following items: concentrated,
joyful, sad, angry, afraid, anxious, disgusted, scornful, surprised, ashamed, guilty and
Respiratory Feedback 12
happy. Only the six relevant items were retained for the data analysis (joyful, sad,
angry, afraid, anxious, and happy).
Respiration questionnaire
Based on a pre-test study, a questionnaire investigating several respiratory
parameters was constructed. Participants were asked to describe their inspiration and
their expiration separately on five items: Was their respiration diaphragmatic, thoracic
or both? Did they breath through their nose, their mouth or both? Did the frequency
change (from “-3” = much slower to “3” = much faster), did the amplitude change (from
“-3” = much more shallow to “3” = much deeper), and did they pause (from “0” = not at
all to “4” = a lot)? Additional questions were asked for the whole respiratory pattern:
Were there sighs, tremors, or tensions in the thorax (from “0” = not at all to “4” = a lot),
and did the regularity of the respiration change (from “-3” = much more irregular to “3”
= much more regular)?
Results
Manipulation check
On average, participants reported that they felt successful in producing
emotional breathing patterns (mean success = 3.74 with “0” = unsuccessful trial, “3” =
rather successful trial, and “6” = perfect trial). Yet, a MANOVA with emotion
condition as a within-subject factor revealed that reported success varied according to
emotion, F(3,20) = 4.99, p < .01. Post-hoc analyses indicated that the joy respiratory
pattern (mean = 4.48) was easier to produce than patterns of sadness, fear, and anger
(respective means = 3.61, 3.56, 3.30).
Not only did participants indicate that they were successful in producing
breathing patterns subjectively related to the target emotion, but they also reported
feeling the corresponding subjective state. Indeed, a 4 X 6 MANOVA with emotion
condition and emotion item of the DES as within-subject factors and sex as a between-
subjects factor revealed main effects of emotion and emotion item, respectively, F(3,63)
= 3.99, p < .02, F(5,105) = 6.93, p < .0001, that were qualified by an emotion X
emotion item interaction , F(15,315) = 34.01, p < .0001. The pattern of the results and
Respiratory Feedback 13
the post-hoc analyses represented in Table 1 clearly demonstrate that the manipulation
induced specific emotional feeling states of a significant intensity.
-------------------------------------------------------------
Insert about here Table 1
-------------------------------------------------------------
Respiratory patterns
The central question of the present study was whether people can report
respiratory patterns that differentiate among each basic emotional feeling state. Thus, to
investigate the effect of emotion condition on the different parameters of inspiration and
expiration, 2 X 4 MANOVAs were computed with inspiration-expiration and emotion
as within-subjects factors. For the frequency and amplitude parameters, only the effect
of emotion was significant, F(3,20) = 29.22, p < .0001, and F(3,20) = 16.54, p < .0001,
respectively. For the pause parameters, only the interaction between inspiration-
expiration and emotion reached significance, F(3,20) = 3.70, p < .03. Post-hoc analyses
detailed these effects. As shown in Table 2, respiratory frequency increased for anger
and fear, decreased for joy and did not change from baseline level for sadness.
Respiratory amplitude increased dramatically in joy and, although to a lesser extent, in
anger. For fear and sadness, amplitude remained at baseline levels. For pauses, post-
hoc analyses revealed that the interaction was accounted for by the fact that while
people reported more pauses after expiration in joy, F(1,22) = 4.80, p <.04, they
reported less pauses after inspiration in fear, F(1,22) = 3.61, p <.07.
-------------------------------------------------------------
Insert about here Table 2
-------------------------------------------------------------
The effects of emotion on regularity, sighs, tremors, and thoracic tension were
examined with a single factor (emotion) MANOVA. It appeared that all these
parameters were significantly modulated by the type of emotion produced, F(3,20) =
4.09, p < .02, for sighs; F(3,20) = 25.30, p < .0001, for tremors; F(3,20) = 13.06, p <
.0001, for regularity; and F(3,20) = 45.89, p < .0001, for thoracic tension. Post-hoc
Respiratory Feedback 14
analyses specified these effects. As indicated in Table 2, sighing is specifically
associated with sadness. In joy, respiration is more regular and presents much less
thoracic tension than in anger and fear. Sadness falls in between this pattern and is
characterized by tremors, which are totally absent in joy and moderately present in
anger and fear.
Finally the impact of emotion on whether the respiration was oral or nasal, and
whether it was diaphragmatic or thoracic was examined using separate χ2 for
inspiration and expiration in each breathing condition. As displayed in Table 2, a
majority of participants judged the respiration to be nasal for joy and sadness,
respectively, χ 2 = 40.29, p < .001, χ 2 = 29.82, p < .001, for inspiration and expiration
in joy, and χ 2 = 34.77, p < .001, χ 2 = 25.39, p < .001, for inspiration and expiration in
sadness. Respiration also tended to be nasal in anger, although to a lesser extent, χ 2 =
5.82, p < .10, for inspiration and χ 2 = 10.76, p < .01, for expiration. No significant
trend appeared for fear. As regards the diaphragmatic or thoracic quality of the
respiration, participants reported that expiration was predominantly diaphragmatic in
anger and thoracic in fear, χ 2 = 6.61, p < .05.
Discussion
Study 1 yielded three important findings: First, respiratory patterns that are
differentiated among basic emotions were established on the basis of subjective reports;
Second, these subjective patterns are congruent with the objective patterns reviewed by
Boiten et al. (1994); Third, the explicit manipulation of respiration combined with
imagery induced significant and specific emotional feeling states.
Regarding the first finding, the consistency of naive participants in their
association between type of breathing pattern and specific emotion is remarkable.
Previous research has already shown that people report experiencing different body
sensation profiles for different emotions (Lyman & Waters, 1986; Rimé et al., 1990;
Philippot & Rimé, 1997). Yet these studies had all considered a rather global
perception of body changes (e.g. respiratory changes were measured on a single
“respiratory change” item) and no precise body changes had been explored as
Respiratory Feedback 15
specifically as in the present study. Thus, previous findings can be extended to note that
people experience a very fine differentiation of body state during emotion, not only for
the body as a whole but also for very specific changes, at least including breathing
changes. In addition, these body sensations are quite homogenous across individuals
and differentiated across emotions. These observations are contradictory to the
undifferentiated arousal model notion of diffused perception of undifferentiated arousal
inherited from Schachter’s (1964) theory. They are congruent with cognitive appraisal
models and central network models such as the Somatovisceral Afference Model of
Emotion (SAME) proposed by Cacioppo et al. (1992).
With respect to the second finding, Study 1 participants’ reports do not
contradict the findings of Boiten et al. (1994). In the present study, joy is associated
with regular, moderately deep and slow breathing through the nose and with minimal
thoracic tension, tremors, and sighs. The breathing tends to be diaphragmatic or both
thoracic and diaphragmatic. This pattern is parallel to the slow and deep breathing
Boiten et al. (1994) observed in a relaxed resting state. Yet, these authors report that
calm happiness (as well as depression) is associated with slow but shallow breathing,
whereas excited joy (as well as anger or fear) is associated with fast and deep breathing.
Bloch’s et al. (1994) joy pattern (quick and deep nasal inspiration, followed by oral
expiration with small jolts) is different from the pattern associated with joy by the
participants of the present study as well as from the three patterns associated with
positive states by Boiten et al. As mentioned above, Bloch’s et al. joy breathing pattern
attempts to imitate laughter and might not be typical of joy.
For anger, participants in the present study reported a rather fast, irregular and
deep nasal breathing with marked thoracic tension, minimal sighs, and some tremors.
The expiration was diaphragmatic. This pattern corresponds to the fast and deep
breathing Boiten et al (1994) associated with excitement, including angry excitation. It
also parallels to some degree Bloch’s et al. anger pattern (regular, quick, and deep nasal
breathing), except that our participants reported irregular rather than regular breathing.
Respiratory Feedback 16
With respect to fear, our participants reported fast, irregular, rather shallow
breathing, with much thoracic tension, some tremors, and minimal sighs. More thoracic
breathing was reported for fear than for any other emotions. This pattern corresponds
very well to the rapid, shallow breathing associated with tense anticipation by Boiten et
al. It has also basic features in common with Bloch’s et al. fear pattern. Yet, the latter
has additional specifications not reported by our participants : for Bloch et al. the
respiration has to be oral and there must sometimes be a long expiration.
Finally, for sadness, our participants reported nasal breathing with average
amplitude and frequency, marked with sighs and tremors as well as some thoracic
tension and irregularity. Of the four types of breathing proposed by Boiten et al., the
present pattern is closest to the slow and shallow breathing associated with state of
withdrawal and passiveness. It shares some similarities with Bloch’s et al. sadness
pattern (inspiration with brief jolts through the nose and expiration at one time through
the mouth), specifically, normal frequency and amplitude, but also marked
dissimilarities, including oral expiration, jolts in the inspiration and expiration in one
time through the mouth for Bloch et al. As mentioned above, Bloch’s et al. sadness
pattern attempts to imitate crying and might not be specific to sadness.
In summary, as predicted, the emotional breathing patterns reported by the
participants of the present study are characterized by a clear and detailed differentiation
among emotions. Moreover, they are congruent with the results of Boiten’s et al.
(1994) meta-analysis. This suggests that, in their attempts to produce emotional states
by manipulating their respiration, our participants have relied on breathing patterns that
are similar to observations of psychophysiological studies investigating respiratory
changes during emotion induction. As the conditions of clear differentiation among the
four emotions investigated and congruence with Boiten’s et al meta-analysis are met,
the data of the present study can provide a valid basis for the construction of different
sets of breathing instructions that would be specific to the discrete emotions of joy,
anger, fear, and sadness.
Respiratory Feedback 17
The third finding of the present study is precisely related to emotion induction.
Indeed, the analysis of the emotional feeling state questionnaire revealed that specific
and rather intense emotions have resulted from the explicit instruction to produce
emotion by manipulating respiration. This observation is in line with the report of Hess
et al. (1992) that people have the ability to produce rather intense and specific emotions
“on demand.” Future research should examine whether the instruction to alter one’s
breathing adds a specific contribution to voluntary production of emotion. Of course,
effects of experimenter demand can certainly not be completely discounted, although,
during debriefing, participants reported that they had experienced genuine emotions.
Similarly, the relative influence of other strategies, such as relying on personal
memories, cannot be assessed in the present experiment.
Still, the present findings suggest that an explicit manipulation of respiration
might be sufficient to induce a specific emotional feeling state. However, to test this
assertion, the effects on feeling states resulting from the manipulation of respiration
needs to be observed in a context free of experimental demand and in which other facets
of emotion responses are kept constant.
Study 2
Study 2 examined whether specific emotional states could be induced by
manipulating participants’ breathing patterns with instructions based on Study 1's
results. In addition, Study 2 investigated whether this effect could occur implicitly, this
is, without participants explicitly using breathing changes to infer their emotional
feeling state. Participants were told that they were participating in a health psychology
experiment aimed at examining the impact of breathing style on cardio-vascular
characteristics. After a training session, they performed the four breathing patterns that,
unknown to them, were characteristic of joy, anger, fear, and sadness. Their feeling
state was recorded by disguised items hidden in a questionnaire supposedly addressing
the body symptoms induced by the breathing patterns.
Method
Participants and procedure
Respiratory Feedback 18
Twenty one female and 5 male students aged between 17 and 23 years (mean
age: 19.2) volunteered for the study. They participated individually in the experiment
which consisted of two sessions of 45 minutes separated by a minimum of one night
and a maximum of 48 hours. Participants were trained to perform the procedure during
the first session and the actual data collection took place during the second session.
During the first session, the experimenter explained the cover story. Participants
were told that the study had been designed to investigate the effects of breathing on
cardio-vascular changes and on physical feelings. Participants were told how
respiration could influence the cardio-vascular system at a functional and at a
mechanical level. They were told that the hypothesis was that these effects could also
influence subjective physical sensations. Then, the experimenter explained the
procedure. The experiment consisted of four trials. Each trial was preceded by a short
relaxation period during which participants had to close their eyes, breathe smoothly,
relax every muscle, and visualize an imaginary circle inflating and deflating at the
rhythm of their respiration. After relaxation, participants were to perform a respiratory
pattern for two minutes and, immediately after, to complete a questionnaire on physical
sensations. The experimenter explained that various respiratory and cardio-vascular
measurements would be taken during the breathing exercises. He showed the
transducers (a respiratory belt and the FinaPress sensor of the Ohmeda 2300 blood
pressure monitor2) and explained how this equipment operated.
Once the procedure was explained, the experimenter gave the breathing
instructions, showed how to perform them and gave feedback to the participant about
his or her performance. After having ascertained that the participant understood the
breathing instructions, the experimenter affixed the transducers and went to the adjacent
technical room. Communication with the participant was maintained throughout the
experiment via an intercom system. After calibration of the physiological
measurements, the rehearsal of the procedure began. The experimenter gave the
relaxation instructions, then reminded the participant of the breathing instructions, had
the participant perform them for two minutes, and asked to the participant to fill in the
Respiratory Feedback 19
questionnaire. During the breathing trial, the experimenter could monitor on a
computer screen the respiratory movements of the participant and check whether the
instructions were correctly followed.
When they arrived for the second session, participants were reminded of the
procedure. Then the experimenter affixed the respiratory belt and the FinaPress sensor
and went to the technical room. The four trials were performed in a random order.
Respiration was recorded during relaxation and trial periods. Finally, participants were
debriefed and the actual purpose of the experiment was explained. They were
specifically asked whether they suspected that the experimenter attempted to modify
their emotional state by manipulating their respiration. No participants reported any
suspicion about the real purpose of the experiment, about the fact that it concerned
emotion induction, or about the fact that the questionnaire measured their emotional
feeling state. Thus, if an effect on feeling state is observed, it can be considered as
occurring outside of the participants’ awareness of the process, i.e. the awareness of a
relationship between breathing and feeling state.
Questionnaire
The questionnaire consisted in 22 items comprising different sensations. Items
were "vertigo," "nausea," "paresthesia," "lump in the throat," "headache," "impression
of unreality," "stomach sensations," "feeling cold, shivering," "feeling hot," "racing
heart," "muscular tension," "perspiration," "goose flesh," "blushing," "weak knees," and
"general activation." Mixed among these items, four scales indexed emotional feeling
states: "feelings of fear, anxiety,” for fear; "feelings of sadness, depression," for
sadness; "positive feelings, good spirit," for happiness; and "feelings of aggressivity,
aggravation," for anger. Each item had to be rated by marking a check on a 10
centimeter line, anchored 0% to 100%. Participants were instructed that 0% reflected
no such sensation at all, while 100% was the strongest sensation they could imagine
feeling for this item. The dependent measures consisted of millimeters from the zero-
point on each scale.
Physiological measures
Respiratory Feedback 20
Respiration was recorded by an elastic tube strapped around the participant's
chest. A sound of 575 Hz emitted at one end of the tube is received at the other end.
The phase of the sound received varies according to the length of the tube which is itself
determined by the respiratory movements of the ribcage. A coupler monitors these
phase changes and outputs a signal varying in tension as a function of tube length (1.2
cm/V). Technical aspects of this system are described in van Rossum (1988). The
signal of the coupler was sampled at a frequency of 10Hz by a Computer-based
Oscillograph and Data Acquisition System (CODAS) of Dataq Instruments. Codas,
which consists of a combination of hardware and software, allows continuous data
through-put to hard disk while maintaining a real time display directly on the host
computer's monitor. In addition, after the acquisition, data can be displayed on the
monitor for artifacts inspection.
Respiration indices were derived from the raw signal of the strain-gauge (Boiten,
1993). The computer program used to that effect (Philippot & Philippot, 1991) outputs
for each respiratory cycle: its length, amplitude, ratio of inspiration and expiration
times, number of pauses and their length, and number of hampers.
Breathing instructions
The breathing instructions were derived from the results of Study 1:
Joy: "Breathe and exhale slowly and deeply through the nose; your breathing is
very regular and your ribcage relaxed."
Anger: "Breathe and exhale quickly through the nose; slightly deeper than
regular breathing amplitude. Your breathing is slightly irregular with some tremors and
your ribcage is very tense."
Fear: “Breathe and exhale quickly from the top of your ribcage; with a normal
amplitude. Your breathing is slightly irregular with some tremors and your ribcage very
tense.”
Sadness: “Breathe and exhale through the nose with a normal amplitude and
pace. Your ribcage is slightly tense, and there are some sighs in your expiration.”
Results and discussion
Respiratory Feedback 21
First, analyses were conducted to ascertain that participants' actual breathing
patterns differed across conditions. MANOVAs with breathing condition as a within
subject factor were computed on the differences scores (mean during the trial minus
mean during relaxation) for the indices of frequency, amplitude and ratio of inspiration
and expiration times. As can be seen in Table 3, the effect of breathing condition was
clearly significant for each index. Post-hoc analyses using the Bonferroni procedure
revealed that participants followed the instructions (see subscripts in Table 3).
Respiration time was longest during the joy condition, slightly shorter for the sadness
condition and much shorter in the anger and fear conditions, with fear respiration being
slightly faster than anger respiration. The amplitude increased in the joy condition,
remained at baseline levels for the anger and sadness conditions, and was shorter during
fear. Finally, the ratio of inspiration and expiration times increased for anger, fear, and
sadness but stayed at baseline level in joy.
-------------------------------------
Insert Table 3 about here
-------------------------------------
Second, the impact of breathing condition on emotional feeling state was
examined. A MANOVA with breathing condition and feeling scale as within-subject
factors was computed on the measures of the four feelings. A significant effect of
breathing condition indicated that, overall, some breathing patterns induced more
intense feeling state than others, F(3,23) = 9.02, p<.0004. Similarly, some feeling states
tended to be reported as more intense than others, as indicated by a significant effect of
feeling scale, F(3,23) = 5.89, p<.004. Of direct interest for our hypothesis, a significant
interaction indicated that feeling state varied according to breathing conditions, F(9,17)
= 8.73, p<.0001; This effect accounts for 40% of the variance.
Post-hoc analyses specified the impact of breathing condition on feeling state
(see Table 4). MANOVAs with feeling scale as within-subject factor were computed
for each breathing condition. The effect of feeling scale was significant for each
condition, indicating that each breathing condition induced a differentiated feeling state,
Respiratory Feedback 22
F(3,22) = 13.32, p<.0001, for joy; F(3,22) = 7.20, p<.001, for anger; F(3,22) = 5.71,
p<.004, for fear; and F(3,22) = 4.10, p<.02, for sadness, respectively. These effects
were specified with paired t-test using the Bonferroni procedure. As can be seen in
Table 4, the joy breathing condition induced significantly more positive feeling than any
other condition and more than any other feeling within this condition. The same is true
for the feeling of anger in the anger breathing condition. It should be noted that this
breathing pattern also induced feelings of fear and anxiety, although to a lesser degree
than anger feelings. The fear breathing condition induced feelings of anger and of
fear/anxiety at a similar intensity level. Yet, the feelings of fear/anxiety induced in this
condition are not more intense than those induced by any other conditions. Finally, the
sadness breathing condition induced to a comparable extent positive feelings and
feeling of sadness. It should be noted that it is in this condition that feelings of sadness
were the most intensely reported, as the three other breathing conditions induced no
feeling of sadness at all.
--------------------------------------------------------
Insert Table 4 about here
--------------------------------------------------------
In sum, it appears that the joy and anger breathing conditions successfully
induced the target feeling state. The fear and sadness breathing conditions induced a
mixed pattern of fear/anxiety and anger for the former and of positive state and sadness
for the latter. These blends in pattern could be explained in two different ways. One
possibility is that these breathing conditions indeed induced a blended emotional feeling
state. Another possibility is that some individuals responded to these manipulations
with a given feeling state, while others responded with another feeling state. For
instance, some participants may have felt joy while performing the sadness breathing
task, while other participants may have felt sad.
To decide between these alternatives, correlations were computed between
feeling scales. In the fear condition, anger and fear were positively correlated (r(27) =
.58, p < .002), indicating that the fear breathing pattern did indeed induce a blended
Respiratory Feedback 23
emotional feeling state. In contrast, in the sadness condition, positive state and sadness
were negatively correlated (r(27) = -0.32, p < .10). Thus, it seems that different
individuals reacted with different feeling states to the sadness breathing pattern. A
possibility is that, given the similarity in breathing instructions between the sadness and
joy breathing conditions, some participants performed a breathing pattern closer to the
joy breathing patterns, while other performed a “purer” sadness pattern. If this were
true, based on data presented in Table 3, "happy responders" in the sadness breathing
condition should evidence longer respiration time and amplitude, and smaller ratio of
inspiration/expiration time than "sad responders". Pauses parameters, however, should
not discriminate between these two groups. To test these hypotheses, respiratory
parameters were compared with t-tests between "sad and happy responders".
Participants who reported more happiness than sadness in the sadness breathing
condition were classified as "happy responders". If the opposite was true, they were
classified as "sad responders". Six participants who reported as much happiness as
sadness were eliminated (generally, these participants reported no sadness together with
no happiness at all). There were no differences between groups for the respiration time,
amplitude, or pauses parameters. However, as predicted, "sad responders" were
characterized by longer inspiration / expiration time ratio (M = .23, SD = .09) than
happy responders (M = .10, SD = .16), t(18) = 2.20, p < .03. Thus, it seems that one
objective respiratory parameter distinguishes between happy and sad responders. This
finding suggests that the quality of the feeling state observed results directly from the
breathing pattern performed rather than from any other factors. Future research might
attempt to better control the breathing patterns performed by using a bio-feedback
procedure.
General discussion
Study 1 has indicated that people experience respiratory changes that are
subjectively differentiated across different types of emotions. Study 2 has documented
that differentiated emotional feeling states were induced by respiration manipulations
without participants’ awareness of the process. The intensity of the feeling states
Respiratory Feedback 24
induced in Study 2 was not trivial: Mean ratings of joy, anger and fear were of 54, 55,
and 47 on a scale in which 100 indicated the strongest intensity that participants could
imagine feeling. The amount of variance accounted for by this effect (40%) is larger
than the one accounted for by facial feedback (13%, in Matsumoto [1987]). To our
knowledge, this is the first demonstration that the alteration of respiration is sufficient
to induce emotion. It extends to visceral feedback the effects of body feedback on
emotional states established for facial expression (e.g. Matsumoto, 1987) and posture
(e.g. Stepper & Strack, 1993). These observations support the notion that body
feedback plays a role in the determination of the quality of emotional feeling state and
that this effect can occur without awareness of the process.
Taken together, the present results are totally congruent with the central network
perspective described in the introduction. They are not congruent with the
undifferentiated arousal model that postulates that emotion is characterized by a state of
undifferentiated arousal that uniquely influences the intensity of feelings, provided that
the individual is aware of the arousal and consciously attributes it to an emotional
cause. Indeed, in Study 2, although individuals were aware of their body changes, they
did not consciously relate them to an emotional state, as confirmed by a thorough
debriefing on the matter. Thus, the present results indicate that body changes might
influence feeling states independently of one’s awareness of the process. Still, it is
uncertain whether the awareness of the body state is necessary or not for peripheral
feedback to occur. A convincing demonstration against this specific question would be
to demonstrate the influence of respiratory changes on feeling states with participants
who were aware of neither the process nor the respiratory changes. However, for
practical reasons, such a demonstration, might be very difficult to realize.
Considering more specifically our results, it appears that joy, anger, and sadness-
-provided the execution of the proper breathing pattern--were successfully induced with
instructions derived from the observations of Study 1. However, mixed results were
observed for fear, which was not differentiated from anger. This observation raises the
question of whether breathing manipulation affects feeling state by activating discrete
Respiratory Feedback 25
emotions (e.g. Ekman, 1984; Levenson et al., 1990) or by moving it along dimensions
of pleasantness and activation (e.g. Feldman Barrett & Russell, 1998). Indeed, of the
four states induced, only fear and anger were in the same quadrant of unpleasant, high
arousal state. Anger was successfully induced, though accompanied by some fear,
whereas fear was not distinguished from anger.
There are at least four different interpretations that could account for this
observation. The first interpretation is that respiratory feedback is capable of inducing
discrete emotions and the fear breathing instructions derived from Study 1 were
incomplete or inadequate. This possibility can only be examined by further
psychophysiological research on respiration during emotion. A second interpretation is
that, while body feedback as a whole is capable of inducing discrete emotions, breathing
alone would not be sufficient to induce differentiated states of anger and fear because
additional feedback from other body functions is necessary. According to the SAME
model proposed by Cacioppo et al. (1992), one source of peripheral feedback might not
be enough to produce a discrete somatovisceral pattern that specifically refers to a
specific emotion. A third possibility is that peripheral feedback is not capable of such
fine distinctions, the latter requiring more cognitive appraisal processes. Finally, as
suggested above, it may be that feeling states are organized dimensionally (Feldman &
Russell, 1998) and that Study 2 results simply reflect this reality. Future research is
needed to decide among these possibilities. To test the second possibility, we are
presently planning studies in which facial, postural, and respiratory feedback will be
manipulated independently. By providing ambiguous and unambiguous somatovisceral
patterns (emotionally incongruent or congruent feedback from face, posture or
respiration), such manipulations allow for testing the Somatovisceral Afference Model
of Emotion (SAME) proposed by Cacioppo et al. (1992).
From a clinical perspective, our results suggest relations between anger-hostility
and fear-anxiety, as induced by rapid breathing. Indeed, it is remarkable that the fast
and deep breathing normally expected to induce more hyperventilation (Beck & Scott,
1988; Huey & West, 1983)--and consequently, more anxiety--than the fast and shallow
Respiratory Feedback 26
breathing actually induced more anger than anxiety. The fast and shallow breathing
induced as much anger as anxiety. These observations suggest that hyperventilation
might be as strongly related to anger and hostility as to fear and anxiety. This is
congruent with the observation that people who panic, for whom hyperventilation is
functional, score higher on hostility (Dadds, Gaffney, Kenardy, Oei, et al., 1993). The
anxiety produced by hyperventilation might thus originate in a hostile coping attitude in
challenging situations.
A final comment concerns the regulation of emotion. Previous research has
shown that attempts to regulate emotion by the suppression of its expression resulted in
an increase in physiological responding (Gross, 1998; Manstead, 1991). Other
researchers have observed juste the opposite (Kappas, McHugo, & Lanzetta, 1989).
Thus, attempts to regulate emotion in one physiological system (facial muscles) resulted
in increased manifestation in other body channels (visceral arousal) in some studies and
in decreased manifestation in other studies. Also relevant to this question, a wealth of
clinical evidence has shown that feelings of anxiety can be alleviated by specific
breathing exercises (Lum, 1981). It is therefore unclear whether the control of one body
channel necessarily results in increased manifestations in other channels. It might be
that the direction of the effect depends upon the body channel and the type of control
considered. The findings of the present studies encourage future research to examine
the regulatory effects of specific breathing instructions in people exposed to emotional
situations by independently manipulating breathing instructions and emotional
situations.
In sum, the present studies have shown an implicit influence of respiratory
feedback on the induction of emotional feeling state. They thus offer further support to
those theories of emotion stating that the quality of emotional feelings are, at least in
part, modulated by body feedback, without necessity of individual’s awareness of the
relationship between body changes and feeling state. It remains to be established
whether respiratory feedback induces discrete emotions or whether it moves the feeling
state along pleasantness and arousal dimensions. Finally, we propose that the
Respiratory Feedback 27
respiratory feedback effect constitutes a rich avenue for future research in emotion
regulation.
Respiratory Feedback 28
References
Beck, J.G. & Scott, S.K. (1988). Physiological and symptom responses to
hyperventilation: A comparison of frequent and infrequent panickers. Journal of
Psychopathology and Behavioral Assessment, 10, 117-127.
Bloch (1994, July 16th). personal communication.
Bloch, S., Lemeignan, M., & Aguilera-T, N. (1991). Specific respiratory patterns
distinguish among human basic emotion. International Journal of Psychophysiology,11,
141-154.
Bloch, S., & Santibanez-H, G. (1972). Simposio Latino-Americano de
psicobiologia del aprentizaje (pp. 170-184). In S. Bloch & R. Anerios (Eds.)
Psicobiologia del aprentizaje. Santiago, Chile: Universidad de Chile.
Boiten, F.A. (1994). Component analysis of task-related respiratory patterns.
International Journal of Psychophysiology, 15, 91-104.
Boiten, F.A. (1996). Autonomic response patterns during voluntary facial action.
Psychophysiology, 33, 123-131.
Boiten, F.A., Frijda, N.H., Wientjes, C.J.E. (1994). Emotions and respiratory
patterns: review and critical analysis. International Journal of Psychophysiology, 17,
103-128.
Buck, R. (1985). Prime theory: An integrated view of motivation and emotion.
Psychological Review, 92, 389-413.
Cacioppo, J.T., Berntson, G.G. & Klein, D.J. (1992). What is an emotion? The
role of somatovisceral afference, with special emphasis on somatovisceral « illusions ».
In M.S. Clark (Ed.), Review of Personality and Social Psychology, 14, 68-98.
Cannon, W.B. (1927). The James-Lange theory of emotions: A critical
examination and an alternative theory. American Journal of Psychology, 39, 106-124.
Dadds, M.R., Rosenthal-Gaffney, L., Kenardy, J., Oei, T.P.S., et Evans, L.
(1992). An exploration of the relationship between expression of hostility and the
anxiety disorders. Journal of Psychiatric Research.
Respiratory Feedback 29
Damasio, A.R. (1994) Descartes' error: emotion, reason and the human brain.
New York: Grosset/Putnam Books.
Duclos, S.D., Laird, J.D., Schneider, E., Sexter, M., Stern, L. & VanLighten, O.
(1989). Emotion-specific effects of facial expressions and postures on emotional
experience. Journal of Personality and Social Psychology, 57, 100-108.
Ekman, P. (1984). Expression and the nature of emotion. In K. Scherer and P.
Ekman (Eds.), Approaches to emotion (pp. 319-343). Hillsdale, N.J.: Erlbaum.
Ekman, P. (1999). Basic emotions. In T. Dalgleish & M.J. Power, (Eds).
Handbook of cognition and emotion. (pp. 45-60). Chichester, England: John Wiley &
Sons.
Feldman Barrett, L., Russell, J.A. (1998) Independance and Bipolarity in the
Structure of Affect. Journal of Personality and Social Psychology, 74, 967-984.
Frijda, N.H. (1986). The emotions. Cambridge, UK: Cambridge University
Press.
Gross J.J. (1998) Antecedent- and response-focused emotion regulation:
divergent consequences for experience, expression, and physiology. Journal of
Personality and Social Psychology, 74, 224-237.
Hess, U., Kappas, A., McHugo, G.J., Lanzetta, J.T. & Kleck, R.E. (1992). The
facilitative effect of facial expression on the self-generation of emotion. International
Journal of Psychophysiology, 12, 251-265.
Huey, S.R., & West, S.G. (1983). Hyperventilation: its relation to symptom
experience and to anxiety. Journal of Abnormal Psychology, 92, 422-432.
Izard, C.E. (1979). Emotion in personality and psychopathology. New York:
Plenum Press.
Izard, C.E. (1990). Facial expressions and the regulation of emotions. Journal of
Personality and Social Psychology, 58, 487-498.
James, W. (1884). What is an emotion? Mind, 9, 188-205.
James, W. (1890). Principles of psychology (2 Vols.). New York: Holt.
Respiratory Feedback 30
Kappas, A. (1989). Control of emotion. Unpublished Ph.D. dissertation,
Darmouth College, USA.
Kappas, A., McHugo, & G.J., Lanzetta, J.T. (1989, October). Componential
control and the modulation of emotional experience. Paper presented at the Twenty-
Ninth Annual Meeting of the Society for Psychophysiological Research, New Orleans.
Kirouac, G. (1995). Les émotions. Québec: Presses de l'Université du Québec.
Laird, J. (1984). The real role of facial response in the experience of emotion: a
reply to Tourangeau and Ellsworth, and others. Journal of Personality and Social
Psychology, 47, 909-917.
Lang, P.J. (1979). A bio-informational theory of emotional imagery.
Psychophysiology, 16, 495-512.
Lang, P.J. (1984). Cognition in emotion: Concept and action. In C. Izard, J.
Kagan, & R. Zajonc (Eds.), Emotion, Cognition, and Behavior. New York: Cambridge
University Press.
Lazarus, R.S. (1991). Progress on a cognitive-motivational-relational theory of
emotion. American Psychologist, 46, 819-834.
Levenson, R.W. (1992). Autonomic nervous system differences among
emotions. Psychological Science, 3, 23-27.
Levenson, R.W., Carstensen, L.L., Friesen, W.V., & Ekman, P. (1991).
Emotion, physiology, and expression in old age. Psychology and Aging, 6, 28-35.
Levenson, R.W., Ekman, P. & Friesen, W.V. (1990). Voluntary facial action
generates emotion-specific autonomic nervous system activity. Psychophysiology, 27,
363-384.
Lum, L.C. (1981). Hyperventilation and anxiety state. Journal of the Royal
Society of Medicine, 74, 1-4.
Lyman, B. & Waters, J.C.E. (1986). The experiential loci and sensory qualities
of various emotions. Motivation and Emotion, 10, 25-37.
Respiratory Feedback 31
Manstead, A.S.R. (1988). The role of facial movement in emotion. In H.L.
Wagner (Ed.), Social psychophysiology and emotion: Theory and clinical application.
Wiley.
Manstead, A.S.R. (1991). Expressiveness as an individual difference. In R.S.
Feldman and B. Rimé (Eds.), Fundamentals of Nonverbal Behavior (pp. 285-328).
Cambridge: Cambridge University Press.
Matsumoto, D. (1987). The role of facial responses in the experience of
emotion: More methodological problems and a meta-analysis. Journal of Personality
and Social Psychology, 52, 769-774.
McIntosh, D.N. (1996). Facial feedback hypotheses: evidence, implications, and
directions. Motivation and Emotion, 20, 121-147.
Pecchinenda, A. & Smith, C.A. (1996). The affective significance of skin
conductance activity during a difficult problem-solving Cognition-and-Emotion, 10,
481-503.
Personality and Social Psychology Bulletin (1990). Special issue: Centennial
celebration of the Principles of Psychology of William James. Personality and Social
Psychology Bulletin, 16, 597-783.
Philippot, P. (1993). Inducing and assessing differentiated emotion-feeling states
in the laboratory. Cognition & Emotion, 7, 171-193.
Philippot, M. & Philippot, P. (1991). Thorax: A program of respiratory signal
analysis [computer program]. Louvain-la-Neuve, Belgium: University of Louvain,
Experimental & Social Psychology Unit.
Philippot, P. & Rimé, B. (1997). The perception of bodily sensation during
emotion: A cross-cultural perspective. Polish Bulletin of Psychology, 28, 175-188.
Philippot, P. & Schaefer, A. (2001). Emotion and memory. In T.J. Mayne and
G.A. Bonano (Eds.), Emotion: current issues and future directions. New York: Guilford
Press.
Reisenzein, R. (1983). The Schachter theory of emotion: Two decades later.
Psychological Bulletin, 94, 239-264.
Respiratory Feedback 32
Rimé, B., Philippot, P., & Cisamolo, D. (1990). Social schemata of peripheral
changes in emotion. Journal of Personality and Social Psychology, 59, 38-49.
Russell, J. (1991). In defence of a prototype approach to emotion concepts.
Journal of Personality and Social Psychology, 60, 37-47.
Schachter, S. (1964). The interaction of cognitive and physiological
determinants of emotional state. In L. Berkowitz (Ed.), Advances in Experimental
Social Psychology: Vol. 1. (pp. 49-79). New York: Academic Press.
Scherer, K.R. (1984). On the nature and function of emotion: A component
process approach. In K. Scherer and P. Ekman (Eds.), Approaches to emotion (pp. 293-
317). Hillsdale, N.J.: Erlbaum.
Smith, C.A. & Kirby, L.D. (2000). Consequences require antecedents: Toward a
process model of emotion elicitation. In J.P. Forgas (Ed). Feeling and thinking: The role
of affect in social cognition. New York: Cambridge University Press.
Stemmler, G. (1989). Autonomic differentiation of emotion revisited:
Convergent and discriminant validation. Psychophysiology, 26, 617-632.
Stemmler, G. (1992). The vagueness of specificity: Models of peripheral
physiological emotion specificity in emotion theories and their experimental
discriminability. Journal of Psychophysiology, 6, 17-28.
Stepper, S. & Strack, F. (1993). Proprioceptive determinants of affective and
nonaffective feelings. Journal of Personality and Social Psychology, 64, 211-220.
Teasdale, J.D. (1996). Clinical relevant theory: Integrating clinical insight with
cognitive science. In P. Salkovskis (Ed.), Frontiers of cognitive therapy. New York:
Guilford.
Tomkins, S.S. (1980). Affect as amplification: some modification in theory. In
R. Plutchik & H. Kellerman (Eds.), Theories of emotion (pp. 141-164). New york:
Academic Press.
van Rossum, E. (1988). Ademhalingsmeetsystee (ReportNo. 5). Amsterdam,
Holland: Vrij Universiteit, Subfakulteit Psychologie, Electronische Werkplaats.
Respiratory Feedback 33
Zajonc, R.B. & McIntosh, D.N. (1992). Emotions research - Some promising
questions and some questionable promises. Psychological Science, 3, 70-74.
Zillmann, D. (1979). Excitation transfer in hostility and aggression. In D.
Zillman (Ed.), Hostility and aggression. Hillsdale, N.J.: Erlbaum.
Zillmann, D. (1983). Transfer of excitation in emotion behavior. In J.T.
Cacioppo & R.E. Petty (Eds.), Social psychophysiology (pp. 215-240). New York:
Guilford.
Respiratory Feedback 34
Notes
1It should be noted that only 20 participants took part in this study and that, although it
used a within-subject design its statistical power is consequently weak.
2This apparatus only served to convince participants of the cover story. Cardiovascular
data were thus not recorded. Given the strong impact of breathing on cardiovascular
parameters, such data would have been useless in the present context.
Respiratory Feedback 35
Table 1.
Emotional Feeling State as a Function of Emotion Condition.
Feeling Emotion Condition
State Joy Anger Fear Sadness
Joyful Mean 3.09b 1.48c 1.34d 1.17c
SD 1.62 0.89 0.71 0.49
Sad Mean 1.09c 1.61c 1.69cd 4.13a
SD 0.28 1.15 1.18 2.09
Angry Mean 1.04c 4.39a 1.91cd 2.13b
SD 0.20 1.97 1.44 1.68
Afraid Mean 1.00c 1.52c 4.08b 1.43c
SD 0.00 0.89 2.25 0.78
Anxious Mean 1.13c 3.04b 3.91b 2.43b
SD 0.34 1.96 1.95 1.99
Happy Mean 4.30a 1.17c 1.34d 1.13c
SD 1.79 0.49 0.77 0.45
Note. Means with different subscripts differ at least at the 0.05 level of significance
according to t-test using Bonferroni’s correction.
Only emotional feeling states items relevant to the emotion conditions are presented in
this Table.
Respiratory Feedback 36
Table 2.
Respiration Parameters Means Values and Standard Deviation as a Function of
Emotion.
Respiration Emotion
Parameter Joy Anger Fear Sadness
Frequency Mean -1.85 c 1.04 a 1.45 a -0.35 b
SD 1.25 1.22 1.36 1.61
Amplitude Mean 2.07 a 0.91 b -0.22 c 0.22 bc
SD 0.82 1.27 1.91 1.95
Regularity Mean 1.69 a -0.83 c -0.91 c -0.61 b
SD 1.26 1.59 1.93 1.56
Sighs Mean 1.26 b 0.96 b 0.87 b 2.39 a
SD 1.35 1.43 1.46 1.53
Tremors Mean 0.04 c 1.39 b 1.48 b 2.65 a
SD 0.21 1.23 1.40 1.59
Thoraxic Tension Mean 0.13 c 2.43 a 2.65 a 1.52 b
SD 0.34 1.44 1.03 1.53
Note. Means with different subscripts differ at least at the 0.01 level of significance
according to t-test using Bonferroni’s correction.
Respiratory Feedback 37
Table 3
Respiratory Parameters as a Function of Breathing Condition.
Respiratory Breathing Condition
Parameter Joy Anger Fear Sadness F(3,23) p
Time Mean4.13a -6.41c -7.26d -1.26b 84.14 .0001
SD 4.85 2.48 2.50 2.70
Amplitude Mean0.50a 0.04b -0.20c 0.15b 20.98 .0001
SD 0.45 0.34 0.26 0.29
Ti/Te Mean0.05b 0.14a 0.32a 0.17a 6.90 .002
SD 0.17 0.24 0.38 0.14
Pause Length Mean-0.44a -1.20b -1.39b 0.25a 6.22 .002
SD 1.55 1.75 1.69 2.35
Pause Number Mean-0.15 0.52 0.22 0.67 1.12 .35
SD 0.99 2.15 1.67 1.84
Note. Means with different subscripts differ at least at the 0.01 level of significance
according to t-test using Bonferroni’s correction.
Respiratory Feedback 38
Table 4.
Emotion Feeling States as a Function of Breathing Condition.
Emotion Breathing Condition
Feeling State Joy Anger Fear Sadness
Positive state Mean 54a I 5c III 6c II 23b I
SD 33 8 12 25
Anger Mean 1c II 55a I 47b I 7c II
SD 2 37 32 12
Anxiety, Fear Mean 1b II 40a II 39a I 8b II
SD 2 35 34 13
Sadness Means 5b II 12b III 13b II 21a I
SD 13 16 26 27
Note. Means with different subscripts differ at least at the 0.01 lsmithevel of
significance according to t-test using Bonferroni’s correction. Alphabetic subscripts
indicate a comparison between breathing conditions for a given feeling state; Roman
figures subscripts indicate a comparison between feeling state for a given breathing
condition.
... Monitoring the breathing rate, depth, and stability of the human body over time offered initial insights into human motion states, physiological conditions, and emotions [42][43][44] . Generally speaking, the human respiratory cycle lasts 3-4 s, so the sensing element for respiratory detection generally needed a sub-second fast response ability 45 . ...
Article
Full-text available
Acoustic impedance enables many interesting acoustic applications. However, acoustic impedance for gas sensing is rare and difficult. Here we introduce a micro-nano surface acoustic wave (SAW) chip based on the acoustic impedance effect to achieve ultra-fast and wide-range gas sensing. We theoretically established the relationship between surface load acoustic impedance and SAW attenuation, and analyzed the influence of acoustic impedance on acoustic propagation loss under different gas/humidity media. Experimental measurements reveal that the differences in acoustic impedance generated by different gases trigger different acoustic attenuation, and can achieve wide-range (0–100 v/v%) gas monitoring, with ultra-fast response and recovery speeds reaching sub-second levels (t90 < 1 s, t10 < 0.5 s) and detection limit of ~1 v/v%. This capability can also be perfectly utilized for human respiratory monitoring, accurately reflecting respiratory status, frequency, and intensity. Consequently, the SAW chip based on the acoustic impedance effect provides a new solution for in-situ detection of gas leaks and precise monitoring of human respiration.
... These practices, rooted in ancient traditions (Bernardi et al., 2001), provide numerous cardiovascular and mental health benefits, such as improved stress regulation (Fincham et al., 2023;Shao et al., 2024;Sevoz-Couche and Laborde, 2022;Gholamrezaei et al., 2021;Leyro et al., 2021;Laborde et al., 2022). Proposed mechanisms for these benefits include enhancing baroreflex homeostasis, respiratory sinus arrhythmia, and vagal afferent pathways, as well as optimising the interaction between blood pressure, heart rate, and brain regions involved in behaviour and emotional regulation (Zaccaro et al., 2018;Sevoz-Couche and Laborde, 2022;Gholamrezaei et al., 2021;Laborde et al., 2022;Philippot et al., 2002;Lehrer and Gevirtz, 2014). Consequently, slow-paced breathing is expected to boost a wide range of HRV metrics, particularly enhancing power in all HRV frequency bands and vagally-mediated HRV measures (Pham et al., 2021;Shao et al., 2024;Shaffer and Ginsberg, 2017). ...
... Should the activity of the inner body be made explicit, people might naturally use it to understand others. For instance, Philippot et al. [40] describe similar breathing between acting an emotion and feeling one. Hence to reproduce emotions might well be a coherent strategy to assess others' states. ...
Preprint
Digitally presenting physiological signals as biofeedback to users raises awareness of both body and mind. This paper describes the effectiveness of conveying a physiological signal often overlooked for communication: breathing. We present the design and development of digital breathing patterns and their evaluation along three output modalities: visual, audio, and haptic. We also present Breeze, a wearable pendant placed around the neck that measures breathing and sends biofeedback in real-time. We evaluated how the breathing patterns were interpreted in a fixed environment and gathered qualitative data on the wearable device's design. We found that participants intentionally modified their own breathing to match the biofeedback, as a technique for understanding the underlying emotion. Our results describe how the features of the breathing patterns and the feedback modalities influenced participants' perception. We include guidelines and suggested use cases, such as Breeze being used by loved ones to increase connectedness and empathy.
... Lastly, taken together, the mind, body, and breath of an individual have an interdependent relationship. Literature across disciplines (e.g., respiratory medicine, psychosomatics, psychology) has suggested that a person's state of mind (e.g., anxiety, depression) can influence respiration (e.g., respiratory rate) and vice versa (Boiten et al., 1994;Neuman et al., 2006;Philippot et al., 2002;Scano et al., 2013). For example, the dyspnea-anxiety-dyspnea cyclical effect has been reported on individuals with Parkinson's disease and COPD and who are otherwise healthy (Decavèle et al., 2022;Dudley et al., 1980;Lin & Shune, 2020, 2023van de Wetering-van Dongen et al., 2022). ...
Article
Full-text available
Purpose The use of telehealth in the management of chronic obstructive pulmonary disease (COPD) has demonstrated benefit in addressing some key treatment barriers (e.g., accessibility of health care, costs, frailty, transportation, mobility, time). This modality may hold similar promise for the management of functional impairments in this population. Telehealth has been explored within head and neck cancer and neurological populations in dysphagia; however, less is known about the use of telehealth for biopsychosocial and eating-related impacts in COPD. The purpose of this tutorial is to describe the application of telehealth to this population, discuss the modality in the context of the medical management of COPD and dysphagia management in other populations, and provide considerations for its use. We then report a case implementation of Sudarshan Kriya Yoga as a telehealth approach in this population and describe preliminary biopsychosocial and eating-related and functional outcomes. Conclusions As grounded in the previous literature and based on the preliminary case implementation findings of a small sample, telehealth for functional biopsychosocial management in the COPD population appears acceptable, appropriate, cost-effective, and feasible. This perspective demonstrates initial proof of concept and advances the diversification of management options that may better address the various complex needs of our clinical populations.
... Conversely, if such posture, facial expression and movement patterns are unobtrusively induced in healthy controls, psychological characteristics of sadness appear (Flack, 2006;Michalak et al., 2009;Shafir et al., 2013). Furthermore, there are findings showing that certain breathing techniques also induce and intensify specific emotions (Bloch et al., 1991;Boiten et al., 1994;Philippot et al., 2002). For a review of the effects of movement and breathing patterns on emotions see (Shafir, 2015). ...
Article
Full-text available
The neuroscience-based concept of “embodied cognition” or “embodiment” highlights that body and psyche are closely intertwined, i.e., effects of body and psyche are bidirectional and reciprocal. This represents the view that cognitive processes are not possible without the direct participation of the body. Traditional Cognitive Behavioral Therapy (CBT) addresses emotional processes on a conceptual level (dysfunctional thoughts, beliefs, attributions, etc.). However recent findings suggest that these processes already start at the level of bodily sensations. This opens up a way of working in therapy that includes the level of bodily sensations, where the development of emotional meaning is supported by bottom-up processes. Bidirectionality of embodiment can be effectively exploited by using body postures and movements associated with certain emotions, which we refer to as embodiment techniques, to deepen the physical experience of poorly felt emotions and support the valid construction of emotional meaning. This embodied approach offers several advantages: Prelinguistic or hard-to-grasp aspects can be identified more easily before being processed verbally. It is also easier to work with clients who have limited access to their emotions. Thus, in this paper we describe a new embodied CBT approach to working on the dysfunctional schema, which is based on three modules: body focus, emotional field, and interaction focus. In addition, using specific zones in the space of the therapy-room allows the embodiment of problematic interactions, as well as of power and powerlessness, closeness and distance, etc. Directly experiencing these processes on one’s own body in the protected space of therapy allows faster and deeper insights than would be possible with conversations alone. Finally, the vitalizing power of emotions is used to create coherent action plans and successful interactions. This working method is illustrated by means of a case from practice.
Article
Full-text available
Automatic emotion recognition is a burgeoning field of research and has its roots in psychology and cognitive science. This article comprehensively reviews multimodal emotion recognition, covering various aspects such as emotion theories, discrete and dimensional models, emotional response systems, datasets, and current trends. This article reviewed 179 multimodal emotion recognition literature papers from 2017 to 2023 to reflect on the current trends in multimodal affective computing. This article covers various modalities used in emotion recognition based on the emotional response system under four categories: subjective experience comprising text and self‐report; peripheral physiology comprising electrodermal, cardiovascular, facial muscle, and respiration activity; central physiology comprising EEG, neuroimaging, and EOG; behavior comprising facial, vocal, whole‐body behavior, and observer ratings. This review summarizes the measures and behavior of each modality under various emotional states. This article provides an extensive list of multimodal datasets and their unique characteristics. The recent advances in multimodal emotion recognition are grouped based on the research focus areas such as emotion elicitation strategy, data collection and handling, the impact of culture and modality on multimodal emotion recognition systems, feature extraction, feature selection, alignment of signals across the modalities, and fusion strategies. The recent multimodal fusion strategies are detailed in this article, as extracting shared representations of different modalities, removing redundant features from different modalities, and learning critical features from each modality are crucial for multimodal emotion recognition. This article summarizes the strengths and weaknesses of multimodal emotion recognition based on the review outcome, along with challenges and future work in multimodal emotion recognition. This article aims to serve as a lucid introduction, covering all aspects of multimodal emotion recognition for novices. This article is categorized under: Fundamental Concepts of Data and Knowledge > Human Centricity and User Interaction Technologies > Cognitive Computing Technologies > Artificial Intelligence
Article
Full-text available
Using a process model of emotion, a distinction between antecedent-focused and response-focused emotion regulation is proposed. To test this distinction, 120 participants were shown a disgusting film while their experiential, behavioral, and physiological responses were recorded. Participants were told to either (a) think about the film in such a way that they would feel nothing (reappraisal, a form of antecedent-focused emotion regulation), (b) behave in such a way that someone watching them would not know they were feeling anything (suppression, a form of response-focused emotion regulation), or (c) watch the film (a control condition). Compared with the control condition, both reappraisal and suppression were effective in reducing emotion-expressive behavior. However, reappraisal decreased disgust experience, whereas suppression increased sympathetic activation. These results suggest that these 2 emotion regulatory processes may have different adaptive consequences.
Article
Full-text available
This article reports 2 experiments that test whether both emotional and nonemotional feelings may be influenced by uninterpreted proprioceptive input. The logic of the procedure was adopted from studies by F. Strack, L. Martin, and S. Stepper (1988), who unobtrusively manipulated people's facial expressions. In the 1st experiment, a functionally equivalent technique was used to vary the posture of the body. Study 1 results revealed that success at an achievement task led to greater feelings of pride if the outcome was received in an upright position rather than in a slumped posture. Study 2 results revealed that nonemotional feelings of effort were influenced by contraction of the forehead muscle (corrugator), and Ss' self-ratings on a trait dimension reflected this experience when the facial contraction was maintained during the recall of behavioral episodes exemplifying this trait. To account for these results, a framework is proposed that draws on a distinction between noetic and experiential representations.
Article
Full-text available
In the two decades since contemporary psychologists produced strong evidence confirming Darwin's century-old hypothesis of the innateness and universality of certain facial expressions of emotions, research on expressive behavior has become well established in developmental, social, and personality psychology and in psychophysiology. There are also signs of increased interest in emotions in clinical psychology and the neurosciences. Despite the success of the work on emotion expression and the upward trend of interest in emotions in general, the fundamental issue of the relation between emotion expression and emotion experience or feeling state remains controversial. A new developmental model of expression–feeling relations provides a framework for reevaluating previous research and for understanding the conditions under which expressions are effective in activating and regulating feeling states. The model has implications for research, socialization practices, and psychotherapy.
Article
Full-text available
A recent review of the facial feedback literature by Laird (1984) suggested that the effect of facial movement on self-reported mood is large and consistent. In this article, two issues are discussed that suggest that these conclusions are unwarranted. First, methodological problems concerning the facial expressions used to represent valid analogs of emotion and the arousal value of the emotion-eliciting stimuli seriously bring into question the adequacy of the studies to test facial feedback as implied by Izard (1971, 1977) or Tomkins (1962, 1963). Second, even if one accepts the studies designed to represent tests of the effect of facial behavior on self-reported mood, Laird's (1984) box-score approach cannot provide an estimate of the magnitude of the effect. Using meta-analytic techniques (Hunter, Schmidt, & Jackson, 1983; Rosenthal, 1984), I show that the effect size of facial behavior on self-reported mood is actually only of small to moderate value and is most likely an inflated estimate. I conclude, on the basis of the evidence presently available, that the effect of facial feedback on emotional experience is less than convincing.
Book
Significant developments within the past few years have made possible the publication of this rather large volume focusing on specific emotions of human experience, such as interest, joy, anger, distress, fear, shame, shyness, and guilt. The relevant events include new evidence on the relationship of emotions to cognitive processes and to personality traits and defense mechanisms. They also include discoveries relating to the biological foundations of emotions and theory regarding their significance in human evolution. Finally, there have been important findings on the role of emotions and emotion expressions in social relations, pain, grief, and psychopathology. These developments are elaborated in the pages of this volume. The contributors represent the disciplines of clinical, social, and experi­ mental psychology, psychiatry, and psychoanalysis. The contributions show important common themes that cut across disciplines, but they also reflect some differences that invite further thought and research. Above all, they add to our knowledge of human emotions and to our ability to understand and resolve human problems. The Department of Psychology of the University of Delaware has pro­ vided an excellent intellectual climate for work on a volume that ranges across several specialities and disciplines. Conversations with colleagues in the offices and hallways of Wolf Hall have provided answers to many questions. They also yielded some questions that compelled me to seek greater clarification of an issue.
Chapter
Four essential modifications in my affect theory are presented. First, an ambiguity in the concept of affect as amplification has been revised so that the affect is now considered to be an analogic amplifier in much the same manner as pain is an analogic amplifier of the injury it amplifies. Second, I now view the skin of the face as more essential than its musculature in providing the feedback which we experience as motivating. It is shown also that the skin in general is a powerful motivational organ in sex, pain, and sleep. Third, I now view innate affect as essentially suppressed and backed up in the adult, exacting a price whose cost is yet to be precisely determined. The mechanism by which this is achieved is through suppression of vocalization of affect. Fourth, I now view the affect as amplifying not only its activation but also the response to the affect, because it coexists with and thereby imprints its form on whatever response follows it.