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dc.contributor.author
Kowatsch, Tobias
dc.contributor.author
Wahle, Fabian
dc.contributor.author
Filler, Andreas
dc.contributor.editor
Maedche, Alexander
dc.contributor.editor
vom Brocke, Jan
dc.contributor.editor
Hevner, Alan
dc.date.accessioned
2017-12-08T13:08:49Z
dc.date.available
2017-12-06T22:13:35Z
dc.date.available
2017-12-07T11:58:53Z
dc.date.available
2017-12-08T13:08:49Z
dc.date.issued
2017
dc.identifier.issn
2194-1629
dc.identifier.uri
http://hdl.handle.net/20.500.11850/218657
dc.identifier.doi
10.3929/ethz-b-000218657
dc.description.abstract
Work-related stress has the potential to increase the risk of chronic stress, major depression and other non-communicable diseases. Organizational stress monitoring usually applies long-term self-report instruments that are designed in a retrospective manner, and thus, is obtrusive, time-consuming and, most important, fails to detect and predict short-term episodes of stress. To ad- dress this shortcoming, we apply design science research with the goal to design, implement and evaluate a stress management service for knowledge workers (stressOUT) that senses the degree of work-related stress solely based on mouse movements. Using stress theory as justificatory knowledge, we implemented stressOUT that tracks mouse movements and perceived stress levels randomly twice a day with the goal to learn features of mouse movements that are related to stress perceptions. Results of a first longitudinal field study indicate that mouse cursor speed is negatively related to perceived stress. Future work is discussed.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
KIT
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-sa/4.0/
dc.subject
Stress monitoring
en_US
dc.subject
Mouse tracking
en_US
dc.subject
Human-computer interaction
en_US
dc.subject
Neuromotor noise
en_US
dc.subject
Stress theory
en_US
dc.subject
Longitudinal observational field study
en_US
dc.title
stressOUT: Design, Implementation and Evaluation of a Mouse-based Stress Management Service
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-ShareAlike 4.0 International
ethz.book.title
Designing the Digital Transformation. DESRIST 2017 Research in Progress Proceedings
en_US
ethz.journal.title
KIT Scientific Working Papers
ethz.journal.volume
64
en_US
ethz.pages.start
37
en_US
ethz.pages.end
45
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
12th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2017)
en_US
ethz.event.location
Karlsruhe, Germany
en_US
ethz.event.date
May 30 - June 1, 2017
en_US
ethz.notes
Nominee for the Best Research-in-Progress.
en_US
ethz.publication.place
Karlsruhe
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.date.deposited
2017-12-06T22:13:36Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-12-08T13:08:51Z
ethz.rosetta.lastUpdated
2024-02-02T03:28:08Z
ethz.rosetta.versionExported
true
ethz.COinS
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