Abstract
Deciphering others’ affect is ubiquitous in daily life and is important for navigating social interactions and relationships. Research has found that behavioral components, such as facial expressions or body language, are critical channels by which people understand other people’s affect. In the current research, we examined how people’s perceptions of targets’ positive affect (PA) and negative affect (NA) are associated with targets’ physiological reactivity, and whether behavioral indices mediate these associations. A total of 94 participants (i.e., observers) watched videos of targets completing a social stress task during which targets’ physiological reactivity [i.e., changes in respiratory sinus arrhythmia (RSA), cardiac output (CO), and ventricular contractility (VC)] was assessed. We predicted (1) targets’ RSA reactivity would be negatively associated with observers’ perceptions of PA and NA (to a lesser magnitude than PA); (2) targets’ CO reactivity would be positively associated with observers’ perceptions of PA and unrelated to perceptions of NA; and (3) targets’ VC would be positively associated perceptions of PA or NA (VC was an exploratory hypothesis). Our hypotheses were largely supported. Mediational analyses revealed that vocal prosody was a significant mediator of the association between perceptions of targets’ affect and their physiological reactivity. The findings suggest that observers can reliably detect targets’ emotional experiences as they manifest at a physiological level and that voice is an especially useful marker of how people perceive others’ affective experience. The findings have implications for aspects of relationships involving emotion perception, including affect contagion and interpersonal emotion regulation.
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Notes
Additional measures included: Basic Empathy Scale (Jolliffe and Farrington 2006), Trait Meta Mood Scale (Salovey et al. 1995) expanded with a subset of items from the Toronto Alexithymia Scale (Bagby et al. 1994), Mood and Anxiety Symptoms Questionnaire (Watson et al. 1995), and Emotion Regulation Questionnaire (Gross and John 2003).
Observers also rated additional emotions after the final minute of the TSST (i.e., Positive: proud, excited, cheerful, inspired, attentive, pleased, happy, determined, active; Negative: upset, guilty, scared, hostile, grouchy, discouraged, irritable, ashamed, afraid, sad). Observers did not rate all of these emotions after each minute because the task would have been too fatiguing. To keep the calculation of PA and NA consistent across the three points in the TSST, we calculated PA and NA using the same subset of emotions that was consistent across the points. At the first and final minute, observers also rated the targets on ten items related to their preparedness and performance on the task.
Although, our question suggests the target physiology could be the outcome variable, the structure of the data does not allow for this. The observer ratings are at the lowest level of analysis (i.e., Level-1) in the nesting of our data, meaning if target physiology was used as the outcome, observer ratings would have to be collapsed across targets and time points in the TSST. This would result in valuable information being lost, which the cross-classified multilevel modeling approach maintains. Since this is a correlational analysis, the specification of the outcome and predictor in the model does not infer a causal relationship. Therefore, in our multilevel modeling analyses, we used the observer perceptions as the outcome, but in our mediation models (which were not implemented in a multilevel framework) we used the target state as the outcome.
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Acknowledgements
This research was supported by the Sarlo-Ekman endowment to Wendy Berry Mendes. We thank the research assistants who worked on this project through the Emotion, Health, and Psychophysiology Lab at UCSF for their help in the collection of experimental stimuli
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Eckland, N.S., Leyro, T.M., Mendes, W.B. et al. The Role of Physiology and Voice in Emotion Perception During Social Stress. J Nonverbal Behav 43, 493–511 (2019). https://doi.org/10.1007/s10919-019-00311-4
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DOI: https://doi.org/10.1007/s10919-019-00311-4