Abstract

As hospital workers face a growing number of patients and have to meet increasingly rigorous standards of care, their ability to successfully modulate their emotional reactions and flexibly handle stress presents a significant challenge. This paper examines a multimodal signal-driven way to quantify emotion self-regulation and stress spillover through a dynamical systems model (DSM). The proposed DSM models day-to-day changes of emotional arousal, captured through speech, physiology, and daily activity measures, and its interplay with daily stress. The parameters of the DSM quantify the degree of self-regulation and stress spillover, and are associated with work performance and cognitive ability in a multimodal dataset of 130 full-time hospital workers recorded over a 10-week period. Linear regression experiments indicate the effectiveness of the proposed features to reliably estimate individuals' work …

Date

2020

Authors

George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth Narayanan, Theodora Chaspari

Conference

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Pages

284-287

Publisher

IEEE