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Title: A Computational View of the Emotional Regulation of Disgust using Multimodal Sensors
Emotion regulation can be characterized by different activities that attempt to alter an emotional response, whether behavioral, physiological or neurological. The two most widely adopted strategies, cognitive reappraisal and expressive suppression are explored in this study, specifically in the context of disgust. Study participants (N = 21) experienced disgust via video exposure, and were instructed to either regulate their emotions or express them freely. If regulating, they were required to either cognitively reappraise or suppress their emotional experiences while viewing the videos. Video recordings of the participants' faces were taken during the experiment and electrocardiogram (ECG), electromyography (EMG), and galvanic skin response (GSR) readings were also collected for further analysis. We compared the participants behavioral (facial musculature movements) and physiological (GSR and heart rate) responses as they aimed to alter their emotional responses and computationally determined that when responding to disgust stimuli, the signals recorded during suppression and free expression were very similar, whereas those recorded during cognitive reappraisal were significantly different. Thus, in the context of this study, from a signal analysis perspective, we conclude that emotion regulation via cognitive reappraisal significantly alters participants' physiological responses to disgust, unlike regulation via suppression.  more » « less
Award ID(s):
1846076
NSF-PAR ID:
10214020
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
Page Range / eLocation ID:
567 to 571
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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