TY - GEN
T1 - A Computational View of the Emotional Regulation of Disgust using Multimodal Sensors
AU - Kota, Vidhathri
AU - Gali, Geeta Madhav
AU - Nwogu, Ifeoma
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
KW - disgust emotion
KW - Emotion regulation
KW - recurrent neural networks
UR - https://www.scopus.com/pages/publications/85101434469
U2 - 10.1109/FG47880.2020.00145
DO - 10.1109/FG47880.2020.00145
M3 - Conference contribution
AN - SCOPUS:85101434469
T3 - Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020
SP - 567
EP - 571
BT - Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020
A2 - Struc, Vitomir
A2 - Gomez-Fernandez, Francisco
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020
Y2 - 16 November 2020 through 20 November 2020
ER -