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AuthorDogan, Gulin
AuthorAkbulut, Fatma P.
AuthorCatal, Cagatay
AuthorMishra, Alok
Available date2022-11-30T11:23:19Z
Publication Date2022
Publication NameInternational Journal of Environmental Research and Public Health
ResourceScopus
Resource2-s2.0-85129367247
URIhttp://dx.doi.org/10.3390/ijerph19095693
URIhttp://hdl.handle.net/10576/36780
AbstractStress has been designated the "Health Epidemic of the 21st Century" by the World Health Organization and negatively affects the quality of individuals' lives by detracting most body systems. In today's world, different methods are used to track and measure various types of stress. Among these techniques, experience sampling is a unique method for studying everyday stress, which can affect employees' performance and even their health by threatening them emotionally and physically. The main advantage of experience sampling is that evaluating instantaneous experiences causes less memory bias than traditional retroactive measures. Further, it allows the exploration of temporal relationships in subjective experiences. The objective of this paper is to structure, analyze, and characterize the state of the art of available literature in the field of surveillance of work stress via the experience sampling method. We used the formal research methodology of systematic mapping to conduct a breadth-first review. We found 358 papers between 2010 and 2021 that are classified with respect to focus, research type, and contribution type. The resulting research landscape summarizes the opportunities and challenges of utilizing the experience sampling method on stress detection for practitioners and academics. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
SponsorFunding: This research was funded by Molde University College, Specialized Univ. Norway, through support of the Open Access fund.
Languageen
PublisherMDPI
Subjectemotion; experience sampling; healthcare; stress detection; systematic mapping study
TitleStress Detection Using Experience Sampling: A Systematic Mapping Study
TypeArticle
Issue Number9
Volume Number19
dc.accessType Open Access


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