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Article type: Review Article
Authors: Park, Hoojung | Kim, Jisu | Jo, Subeen | Kim, Hanseon | Jo, Yunjo | Kim, Suhyeon | Yoo, Ingyu; *
Affiliations: Department of Occupational Therapy, College of Medical Science, Jeonju University, Jeonju-si, Jeollabuk-do, Republic of Korea
Correspondence: [*] Address for correspondence: Ingyu Yoo, Department of Occupational Therapy, College of Medical Science, Jeonju University, #303 Cheonjam-ro, Wansan-gu, Jeonju-si, Jeollabuk-do, 560-759, Republic of Korea. E-mail: [email protected].
Abstract: BACKGROUND:As interest in job-related psychology increased, the need to focus on understanding workplace stress was emphasized. Negative emotional states such as anxiety and stress permeate the organization and, if uncontrolled, can negatively impact the health and work performance of workers. Therefore, attempts to analyze various signals to understand human emotional states or attitudes may be important for future technological development. OBJECTIVE:The purpose of this study was to identify what biological variables can discriminate emotions that can significantly affect work results. METHODS:Databases (Embase, PsychINFO, PubMed, and CINAHL) were searched for all relevant literature published as of December 31, 2019. RESULTS:Brain activity (BA) and heart rate (HR) or heart rate variability (HRV) are adequate for assessing negative emotions, while BA, galvanic skin response (GSR), and salivary samples (SS) can confirm positive and negative emotions. CONCLUSION:In the future, researchers should study measurement tools and bio-related variables while workers perform tasks and develop intervention strategies to address emotions associated with work. This may enable workers to perform tasks more efficiently, prevent accidents, and satisfy clients.
Keywords: Bio-signal, emotion, technology, work, review
DOI: 10.3233/WOR-205162
Journal: Work, vol. 72, no. 4, pp. 1195-1203, 2022
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