research-article

Back to Analogue: Self-Reporting for Parkinson's Disease

Authors:

Ellen Poliakoff,

Matthew Sullivan,

Simon HarperAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 74, Pages 1 - 13

https://doi.org/10.1145/3173574.3173648

Published: 19 April 2018 Publication History

Abstract

We report the process used to create artefacts for self-reporting Parkinson's Disease symptoms. Our premise was that a technology-based approach would provide participants with an effective, flexible, and resilient technique. After testing four prototypes using Bluetooth, NFC, and a microcontroller we accomplished almost full compliance and high acceptance using a paper diary to track day-to-day fluctuations over 49 days. This diary is tailored to each patient's condition, does not require any handwriting, allows for implicit reminders, provides recording flexibility, and its answers can be encoded automatically. We share five design implications for future Parkinson's self-reporting artefacts: reduce participant completion demand, design to offset the effect of tremor on input, enable implicit reminders, design for positive and negative consequences of increased awareness of symptoms, and consider the effects of handwritten notes in compliance, encoding burden, and data quality.

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Index Terms

Back to Analogue: Self-Reporting for Parkinson's Disease
1. Human-centered computing

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cover image ACM Conferences

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

8489 pages

ISBN:9781450356206

DOI:10.1145/3173574

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
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Anna Cox
University College London, UK

Copyright © 2018 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 19 April 2018

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Kulkarni PKirkham RWu LMcNaney R(2024)Designing for Participatory Data Governance: Insights from People with Parkinson'sProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661529(541-555)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661529
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