Back to analogue: Self-reporting for Parkinson's Disease

Julio Vega; Samuel Couth; Ellen Poliakoff; Sonja A. Kotz; Matthew Sullivan; Caroline Jay; Markel Vigo; Simon Harper

doi:10.1145/3173574.3173648

Back to analogue: Self-reporting for Parkinson's Disease

Julio Vega^*, Samuel Couth, Ellen Poliakoff, Sonja A. Kotz, Matthew Sullivan, Caroline Jay, Markel Vigo, Simon Harper

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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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.

Original language	English
Title of host publication	CHI 2018
Subtitle of host publication	Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery (ACM)
ISBN (Print)	9781450356206, 9781450356213
DOIs	https://doi.org/10.1145/3173574.3173648
Publication status	Published - 20 Apr 2018
Event	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Palais des Congrès de Montréal, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 https://chi2018.acm.org/

Conference

Conference	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 26/04/18
Internet address	https://chi2018.acm.org/

Keywords

EMA
Paper diary
Parkinson's Disease
Self-report

Access to Document

10.1145/3173574.3173648

Full TextFinal published version, 3.35 MBLicence: Taverne

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title = "Back to analogue: Self-reporting for Parkinson's Disease",

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.",

keywords = "EMA, Paper diary, Parkinson's Disease, Self-report",

author = "Julio Vega and Samuel Couth and Ellen Poliakoff and Kotz, {Sonja A.} and Matthew Sullivan and Caroline Jay and Markel Vigo and Simon Harper",

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year = "2018",

month = apr,

day = "20",

doi = "10.1145/3173574.3173648",

language = "English",

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Vega, J, Couth, S, Poliakoff, E, Kotz, SA, Sullivan, M, Jay, C, Vigo, M & Harper, S 2018, Back to analogue: Self-reporting for Parkinson's Disease. in CHI 2018: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems., 74, Association for Computing Machinery (ACM), 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Quebec, Canada, 21/04/18. https://doi.org/10.1145/3173574.3173648

Back to analogue: Self-reporting for Parkinson's Disease. / Vega, Julio; Couth, Samuel; Poliakoff, Ellen et al.
CHI 2018: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2018. 74.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018

AU - Vega, Julio

AU - Couth, Samuel

AU - Poliakoff, Ellen

AU - Kotz, Sonja A.

AU - Sullivan, Matthew

AU - Jay, Caroline

AU - Vigo, Markel

AU - Harper, Simon

PY - 2018/4/20

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N2 - 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.

AB - 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.

KW - EMA

KW - Paper diary

KW - Parkinson's Disease

KW - Self-report

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M3 - Conference article in proceeding

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SN - 9781450356213

BT - CHI 2018

PB - Association for Computing Machinery (ACM)

Y2 - 21 April 2018 through 26 April 2018

ER -

Back to analogue: Self-reporting for Parkinson's Disease

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Keywords

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