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    Rights statement: © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI' 20 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3313831.3376871

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Future Opportunities for IoT to Support People with Parkinson’s

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date25/04/2020
Host publicationCHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1–15
Number of pages15
ISBN (print)9781450367080
<mark>Original language</mark>English

Abstract

Recent years have seen an explosion of internet of things (IoT) technologies being released to the market. There has also been an emerging interest in the potentials of IoT devices to support people with chronic health conditions. In
this paper, we describe the results of engagements to scope the future potentials of IoT for supporting people with Parkinson’s. We ran a 2-day multi-disciplinary event with professionals with expertise in Parkinson’s and IoT, to explore the opportunities, challenges and benefits. We then ran 4 workshops, engaging 13 people with Parkinson’s and caregivers, to scope out the needs, values and desires that the community has for utilizing IoT to monitor their symptoms.
This work contributes a set of considerations for future IoT solutions that might support people with Parkinson’s in better understanding their condition, through the provision of objective measurements that correspond to their, currently
unmeasured, subjective experiences.

Bibliographic note

© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI' 20 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3313831.3376871