TY - GEN
T1 - Stress detection techniques in different work domains
AU - Rodriguez-Paras, Carolina
AU - Khanade, Kunal
AU - Sasangohar, Farzan
N1 - Publisher Copyright:
© 2018 by Human Factors and Ergonomics Society (HFES). All rights reserved.
PY - 2018
Y1 - 2018
N2 - Nurses represent a large portion of shift workers in United States. Nurses often work long hours, have high workload, and usually participate in multitasking, all of which may lead to high stress, turnover, and burnout. The turnover rate among nurses tends to be higher than other healthcare professions. Some studies have analyzed the nursing culture to determine the factors that lead to such high turnover and stress. However, most of the studies have relied on self-reported instruments. While objective metrics to assess stress using physiological measures exist, these methods are rarely used in healthcare. The current study documents the findings from a literature review of stress detection techniques in other work domains (e.g., aviation, transportation). Stress detection techniques are explained, along with potential applications to the healthcare sector.
AB - Nurses represent a large portion of shift workers in United States. Nurses often work long hours, have high workload, and usually participate in multitasking, all of which may lead to high stress, turnover, and burnout. The turnover rate among nurses tends to be higher than other healthcare professions. Some studies have analyzed the nursing culture to determine the factors that lead to such high turnover and stress. However, most of the studies have relied on self-reported instruments. While objective metrics to assess stress using physiological measures exist, these methods are rarely used in healthcare. The current study documents the findings from a literature review of stress detection techniques in other work domains (e.g., aviation, transportation). Stress detection techniques are explained, along with potential applications to the healthcare sector.
UR - http://www.scopus.com/inward/record.url?scp=85061315363&partnerID=8YFLogxK
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U2 - 10.1177/1541931218621386
DO - 10.1177/1541931218621386
M3 - Conference contribution
AN - SCOPUS:85061315363
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 1704
EP - 1706
BT - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PB - Human Factors and Ergonomics Society Inc.
T2 - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
Y2 - 1 October 2018 through 5 October 2018
ER -