Stress detection techniques in different work domains

Carolina Rodriguez-Paras, Kunal Khanade, Farzan Sasangohar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PublisherHuman Factors and Ergonomics Society Inc.
Pages1704-1706
Number of pages3
ISBN (Electronic)9781510889538
DOIs
StatePublished - 2018
Event62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 - Philadelphia, United States
Duration: Oct 1 2018Oct 5 2018

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume3
ISSN (Print)1071-1813

Other

Other62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
CountryUnited States
CityPhiladelphia
Period10/1/1810/5/18

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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