Woodward, K ORCID: https://orcid.org/0000-0003-3302-1345, Kanjo, E ORCID: https://orcid.org/0000-0002-1720-0661 and Brown, D ORCID: https://orcid.org/0000-0002-1677-7485, 2019. Challenges of designing and developing tangible interfaces for mental well-being. In: CHI 2019: 37th Annual ACM Conference on Human Factors in Computing Systems Extended Abstracts, Glasgow, Scotland, 4-9 May 2019. New York: Association for Computing Machinery (ACM). ISBN 9781450359719 (Forthcoming)
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Abstract
Mental well-being technologies possess many qualities that give them the potential to help people receive assessment and treatment who may otherwise not receive help due to fear of stigma or lack of resources. The combination of advances in sensors, microcontrollers and machine learning is leading to the emergence of dedicated tangible interfaces to monitor and promote positive mental well-being. However, there are key technical, ergonomic and aesthetic challenges to be overcome in order to make these interfaces effective and respond to users’ needs. In this paper, the barriers to develop mental well-being tangible interfaces are discussed by identifying and examining the recent technological challenges machine learning, sensors, microcontrollers and batteries create.
User-oriented challenges that face the development of mental well-being technologies are then considered ranging from user engagement during co-design and trials to ethical and privacy concerns
Item Type: | Chapter in book |
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Description: | Paper presented at New Directions for the IoT: Automate, Share, Build, and Care Workshop at the CHI 2019 Conference, held in Glasgow, Scotland, 4-9 May 2019. |
Creators: | Woodward, K., Kanjo, E. and Brown, D. |
Publisher: | Association for Computing Machinery (ACM) |
Place of Publication: | New York |
Date: | May 2019 |
ISBN: | 9781450359719 |
Rights: | © 2019 copyright is held by the author/owner(s). |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jonathan Gallacher |
Date Added: | 24 Apr 2019 14:49 |
Last Modified: | 16 Nov 2023 15:56 |
URI: | https://irep.ntu.ac.uk/id/eprint/36338 |
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