<div class="csl-bib-body">
<div class="csl-entry">Bakås, S., Woźniak, M. P., Herstad, J., Woźniak, P. W., & Niess, J. (2025). The Dual Model for Everyday Stress Technology: Understanding the Lived Experience of Data-Driven Stress. In <i>CHI ’25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems</i>. CHI 2025, Japan. Association for Computing Machinery (ACM). https://doi.org/10.1145/3706598.3713174</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/226141
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dc.description.abstract
Technology plays a dual role in our daily lives, both contributing to heightened stress levels and offering potential solutions for stress management. However, the lived experience of stress in everyday contexts remains underexplored, leaving a critical gap in our understanding of how stress manifests and how technology can effectively support stress management. To address this, we conducted user interviews and expert interviews with specialists in psychology, health, and stress research, complemented by an autoethnographic study. Our findings show the complexity of stress as both a subjective experience and a response shaped by socio-technical environments, leading to the construction of the Dual Model for Everyday Stress Technology. This model highlights the paradoxical nature of stress and its management in technology-mediated settings. We identify key directions for future stress-management technology design and research, with implications for creating meaningful, human-centred technologies for managing stress in everyday life.
en
dc.language.iso
en
-
dc.subject
framework
en
dc.subject
HCI theory
en
dc.subject
model
en
dc.subject
stress
en
dc.subject
stress-tracking
en
dc.subject
well-being
en
dc.title
The Dual Model for Everyday Stress Technology: Understanding the Lived Experience of Data-Driven Stress
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Oslo, Norway
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dc.contributor.affiliation
Carl von Ossietzky Universität Oldenburg, Germany
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dc.contributor.affiliation
University of Oslo, Norway
-
dc.contributor.affiliation
University of Oslo, Norway
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dc.relation.isbn
979-8-4007-1394-1
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
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tuw.peerreviewed
true
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tuw.relation.publisher
Association for Computing Machinery (ACM)
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tuw.relation.publisherplace
New York, NY, USA
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-05 - Forschungsbereich Human Computer Interaction
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tuw.publisher.doi
10.1145/3706598.3713174
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dc.description.numberOfPages
18
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tuw.author.orcid
0009-0009-4166-5811
-
tuw.author.orcid
0000-0001-6404-5169
-
tuw.author.orcid
0009-0006-3807-1332
-
tuw.author.orcid
0000-0003-3670-1813
-
tuw.author.orcid
0000-0003-3529-0653
-
tuw.event.name
CHI 2025
en
tuw.event.startdate
26-04-2025
-
tuw.event.enddate
01-05-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.country
JP
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tuw.event.presenter
Niess, Jasmin
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
90
-
wb.sciencebranch.value
10
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.fulltext
no Fulltext
-
item.languageiso639-1
en
-
item.grantfulltext
none
-
item.openairetype
conference paper
-
item.cerifentitytype
Publications
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crisitem.author.dept
University of Oslo, Norway
-
crisitem.author.dept
Carl von Ossietzky Universität Oldenburg, Germany
-
crisitem.author.dept
University of Oslo, Norway
-
crisitem.author.dept
E193-05 - Forschungsbereich Human Computer Interaction
-
crisitem.author.dept
University of Oslo, Norway
-
crisitem.author.orcid
0009-0009-4166-5811
-
crisitem.author.orcid
0000-0001-6404-5169
-
crisitem.author.orcid
0009-0006-3807-1332
-
crisitem.author.orcid
0000-0003-3670-1813
-
crisitem.author.orcid
0000-0003-3529-0653
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology