Designing an Intervention against Occupational Stress Based on Ubiquitous Stress and Context Detection
Authors: 
Mitja Luštrek, Junoš Lukan, Larissa Bolliger, Emelien Lauwerier, Els ClaysAuthors Info & Claims
Pages 606 - 610
Abstract
Stress, particularly occupational, is a major burden for individuals and the society, affecting the health of one worker in four. Digital interventions are a scalable and moderately effective way to tackle it. Just-in-time adaptive interventions (JITAIs), which use sensors and artificial intelligence to adapt to the user’s needs and context, appear to be a promising way to increase the effectiveness. In this paper we first describe a wearable and mobile data collection as well as stress detection experiments intended to serve as the basis for such an intervention. We then present our design for a JITAI based on cognitive behavioural therapy, and highlight a number of open questions applicable to this and similar JITAIs.
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Index Terms
- Designing an Intervention against Occupational Stress Based on Ubiquitous Stress and Context Detection
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October 2023
822 pages
ISBN:9798400702006
DOI:10.1145/3594739
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Published: 08 October 2023
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UbiComp/ISWC '23: The 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing
October 8 - 12, 2023
Cancun, Quintana Roo, Mexico
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