Wellbeing in smart environments : definition, measurement, prediction and control

Lovén, Lauri; Pakanen, Minna; Gilman, Ekaterina; Pirttikangas, Susanna (2018-10-08)
 
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https://doi.org/10.1145/3267305.3267692

Lovén, Lauri
Pakanen, Minna
Gilman, Ekaterina
Pirttikangas, Susanna
Association for Computing Machinery
08.10.2018

Lauri Lovén, Minna Pakanen, Ekaterina Gilman, and Susanna Pirttikangas. 2018. Wellbeing in Smart Environments: Definition, Measurement, Prediction and Control. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18). ACM, New York, NY, USA, 693-697. DOI: https://doi.org/10.1145/3267305.3267692

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© 2018 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 Proceeding UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, http://dx.doi.org/10.1145/3267305.3267692.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1145/3267305.3267692
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https://urn.fi/URN:NBN:fi-fe2019042513292
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Abstract

What does well-being mean in the context of smart environments? What restrictions are set, how can well-being be measured and predicted? Can smart environments control or influence individual well-being? We seek to answer these questions by aggregating existing research on well-being and identifying the concepts relevant for smart environments. As a result, we provide a falsifiable definition candidate for well-being in smart environments and outline the experiments necessary for verifying the validity of the definition.

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