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dc.contributor.author
Boateng, George
dc.date.accessioned
2020-10-30T13:18:45Z
dc.date.available
2020-10-09T03:03:31Z
dc.date.available
2020-10-30T13:17:52Z
dc.date.available
2020-10-30T13:18:45Z
dc.date.issued
2020-09
dc.identifier.isbn
978-1-4503-8076-8
en_US
dc.identifier.other
10.1145/3410530.3414331
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/445174
dc.description.abstract
Researchers are interested in understanding the dyadic interactions of couples as they relate to relationship quality and chronic disease management. Currently, ambulatory assessment of couples' interactions entail collecting data at random times in the day. There is no ubiquitous system that leverages the dyadic nature of couples' interactions (eg. collecting data when partners are interacting) and also performs real-time inference relevant for relationship quality and chronic disease management. In this work, we seek to develop a smartwatch system that can collect data about couples' dyadic interactions, and infer and track indicators of relationship quality and chronic disease management. We plan to collect data from couples in the field and use the data to develop methods to detect the indicators. Then, we plan to implement these methods as a smartwatch system and evaluate its performance in real-time and everyday life through another field study. Such a system can be used by social psychology researchers to understand the social dynamics of couples in everyday life and their impact on relationship quality, and also by health psychology researchers for developing and delivering behavioral interventions for couples who are managing chronic diseases.
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
dc.title
Towards a wearable system for assessing couples' dyadic interactions in daily life
en_US
dc.type
Conference Paper
dc.date.published
2020-09-10
ethz.book.title
UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
en_US
ethz.pages.start
208
en_US
ethz.pages.end
211
en_US
ethz.event
ACM International Joint Conference on Pervasive and Ubiquitous Computing and the ACM International Symposium on Wearable Computers (UbiComp-ISWC '20)
en_US
ethz.event.location
Online
ethz.event.date
September 12-17, 2020
en_US
ethz.notes
Due to the Coronavirus (COVID-19) the conference was conducted virtually.
en_US
ethz.grant
Measuring the Impact of Social Support and Common Dyadic Coping on Couple's Dyadic Management of Type II Diabetes by a Novel Ambulatory Assessment Application for the Open Source Behavioral Intervention Platform MobileCoach
en_US
ethz.identifier.scopus
ethz.publication.place
New York, NY
ethz.publication.status
published
en_US
ethz.grant.agreementno
166348
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
SNF: Sonstige
ethz.date.deposited
2020-10-09T03:03:37Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-10-30T13:18:01Z
ethz.rosetta.lastUpdated
2024-02-02T12:23:50Z
ethz.rosetta.versionExported
true
ethz.COinS
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