University of Oulu

Minna Pakanen, Lauri Lovén, Paula Alavesa, Ekaterina Gilman, Jacques Terken, Berry Eggen, and Susanna Pirttikangas. 2018. Design Challenges of Wellbeing Supporting Smart Environment in Collaborative Use Situations. 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, 688-692. DOI: https://doi.org/10.1145/3267305.3267691

Design challenges of wellbeing supporting smart environment in collaborative use situations

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Author: Pakanen, Minna1,2; Lovén, Lauri1; Alavesa, Paula1;
Organizations: 1Center for Ubiquitous Computing, P.O Box 4500, FI-90014 University of Oulu, Finland
2INTERACT Research Unit, P.O Box 8000, FI-90014 University of Oulu, Finland
3Department of Industrial Design, Eindhoven University of Technology, P.O Box 513, 5600 MB Eindhoven, The Netherlands
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019042513303
Language: English
Published: Association for Computing Machinery, 2018
Publish Date: 2019-04-25
Description:

Abstract

Recent technological development offers new possibilities for taking into account peoples’ personal wellness data in adjustment of environment conditions. For example, users’ heartrate, facial expression, room temperature, and CO₂ data could be used for adjustment of lighting, temperature, and air-condition to support people’s wellbeing in smart environment. Using personal wellness data for adaptive smart environment condition controlling seems inviting, however before expensive implementation is started, it is essential to know peoples’ perceptions towards such systems to be able to create environments that people want to use. We conducted an anticipated user experience study of an adaptive wellbeing supporting meeting room concept video with 48 participants. Based on our results we present the four design challenges for future research.

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ISBN Print: 978-1-4503-5966-5
Pages: 688 - 692
DOI: 10.1145/3267305.3267691
OADOI: https://oadoi.org/10.1145/3267305.3267691
Host publication: Proceeding UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Conference: ACM International Joint Conference on Pervasive and Ubiquitous Computing
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: We thank all the study participants. This work has been funded by the Open Innovation Platform of Six City Strategy project (A70202) funded by the ERDF and the City of Oulu and Business Finland with several companies through VIRPA-D project. The acquisition of the hardware for this study has also been partially funded by the ERDF project A71720, 'Big Data for 5G', governed by the HILLA program (www.hilla.center).
Copyright information: © 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, https://doi.org/10.1145/3267305.3267691.