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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/ISSN › Conference contribution/Paper › peer-review

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Future Opportunities for IoT to Support People with Parkinson’s. / McNaney, Roisin; Tsekleves, Emmanuel; Synnott, Jonathan.
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM), 2020. p. 1–15.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

McNaney, R, Tsekleves, E & Synnott, J 2020, Future Opportunities for IoT to Support People with Parkinson’s. in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), New York, pp. 1–15. https://doi.org/10.1145/3313831.3376871

APA

McNaney, R., Tsekleves, E., & Synnott, J. (2020). Future Opportunities for IoT to Support People with Parkinson’s. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–15). Association for Computing Machinery (ACM). https://doi.org/10.1145/3313831.3376871

Vancouver

McNaney R, Tsekleves E, Synnott J. Future Opportunities for IoT to Support People with Parkinson’s. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM). 2020. p. 1–15 doi: 10.1145/3313831.3376871

Author

McNaney, Roisin ; Tsekleves, Emmanuel ; Synnott, Jonathan. / Future Opportunities for IoT to Support People with Parkinson’s. CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery (ACM), 2020. pp. 1–15

Bibtex

@inproceedings{329df4cdb71b41b89949b661befc1ce4,
title = "Future Opportunities for IoT to Support People with Parkinson{\textquoteright}s",
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. Inthis paper, we describe the results of engagements to scope the future potentials of IoT for supporting people with Parkinson{\textquoteright}s. We ran a 2-day multi-disciplinary event with professionals with expertise in Parkinson{\textquoteright}s and IoT, to explore the opportunities, challenges and benefits. We then ran 4 workshops, engaging 13 people with Parkinson{\textquoteright}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{\textquoteright}s in better understanding their condition, through the provision of objective measurements that correspond to their, currentlyunmeasured, subjective experiences.",
keywords = "parkinson{\textquoteright}s, quantified self, self-monitoring, design, iot",
author = "Roisin McNaney and Emmanuel Tsekleves and Jonathan Synnott",
note = "{\textcopyright} 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",
year = "2020",
month = apr,
day = "25",
doi = "10.1145/3313831.3376871",
language = "English",
isbn = "9781450367080",
pages = "1–15",
booktitle = "CHI '20",
publisher = "Association for Computing Machinery (ACM)",

}

RIS

TY - GEN

T1 - Future Opportunities for IoT to Support People with Parkinson’s

AU - McNaney, Roisin

AU - Tsekleves, Emmanuel

AU - Synnott, Jonathan

N1 - © 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

PY - 2020/4/25

Y1 - 2020/4/25

N2 - 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. Inthis 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, currentlyunmeasured, subjective experiences.

AB - 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. Inthis 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, currentlyunmeasured, subjective experiences.

KW - parkinson’s

KW - quantified self

KW - self-monitoring

KW - design

KW - iot

U2 - 10.1145/3313831.3376871

DO - 10.1145/3313831.3376871

M3 - Conference contribution/Paper

SN - 9781450367080

SP - 1

EP - 15

BT - CHI '20

PB - Association for Computing Machinery (ACM)

CY - New York

ER -