Towards measuring well-being in smart environments
Halkola, Eija; Lovén, Lauri; Cortes, Marta; Gilman, Ekaterina; Pirttikangas, Susanna (2019-09-09)
Eija Halkola, Lauri Lovén, Marta Cortes, Ekaterina Gilman, and Susanna Pirttikangas. 2019. Towards measuring well-being in smart environments. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (UbiComp/ISWC '19 Adjunct). ACM, New York, NY, USA, 1166-1169. DOI: https://doi.org/10.1145/3341162.3344839
© 2019 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (UbiComp/ISWC '19 Adjunct), https://doi.org/10.1145/3341162.3344839.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2019091628438
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Abstract
This study discusses measurement of well-being in the context of smart environments. We propose an experimental design which induces variation in an individual’s flow, stress, and affect for testing different measurement methods. Both qualitative and quantitative measuring methods are applied, with a variety of wearable sensors (EEG sensor, smart ring, heart rate monitor) and video monitoring. Preliminary results show significant agreement with the test structure in the readings of wearable stress and heart rate sensors. Self-assessments, on the contrary, fail to show significant evidence of the experiment structure, reflecting the difficulty of subjective estimation of short-term stress, flow and affect.
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