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

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

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

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. However, after testing four prototypes using Bluetooth, NFC and microcontrollers we accomplished almost full compliance and high acceptance using a paper diary to track between-day fluctuations over 12 weeks. This diary is tailored to patients’ condition, does not require any handwriting, allows for implicit reminders, provides recording flexibility and 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 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Engage with CHI
Place of Publication	New York, New York, USA
Publisher	Association for Computing Machinery
Pages	1-13
Number of pages	13
ISBN (Electronic)	9781450356206, 9781450356213
ISBN (Print)	9781450356206
DOIs	https://doi.org/10.1145/3173574.3173648
Publication status	Published - 21 Apr 2018

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2018-April

Keywords

EMA
Paper diary
Parkinson's Disease
Self-report

Research Beacons, Institutes and Platforms

Manchester Institute for Collaborative Research on Ageing

Access to Document

10.1145/3173574.3173648

Cite this

Vega, J., Couth, S., Poliakoff, E., Kotz, S., Sullivan, M., Jay, C., Vigo, M., & Harper, S. (2018). Back to analogue: Self-reporting for Parkinson's Disease. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (pp. 1-13). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173648

Vega, Julio ; Couth, Samuel ; Poliakoff, Ellen et al. / Back to analogue : Self-reporting for Parkinson's Disease. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. New York, New York, USA : Association for Computing Machinery, 2018. pp. 1-13 (Conference on Human Factors in Computing Systems - Proceedings).

@inproceedings{bf61911f9c984d1cbf81e419c4a1c49d,

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

abstract = "We report the process used to create artefacts for self-reporting Parkinson{\textquoteright}s Disease symptoms. Our premise was that a technology-based approach would provide participants with an effective, flexible and resilient technique. However, after testing four prototypes using Bluetooth, NFC and microcontrollers we accomplished almost full compliance and high acceptance using a paper diary to track between-day fluctuations over 12 weeks. This diary is tailored to patients{\textquoteright} condition, does not require any handwriting, allows for implicit reminders, provides recording flexibility and can be encoded automatically. We share five design implications for future Parkinson{\textquoteright}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 Sonja Kotz and Matthew Sullivan and Caroline Jay and Markel Vigo and Simon Harper",

year = "2018",

month = apr,

day = "21",

doi = "10.1145/3173574.3173648",

language = "English",

isbn = "9781450356206",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

pages = "1--13",

booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",

address = "United States",

}

Vega, J, Couth, S , Poliakoff, E, Kotz, S, Sullivan, M, Jay, C , Vigo, M & Harper, S 2018, Back to analogue: Self-reporting for Parkinson's Disease. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, Association for Computing Machinery, New York, New York, USA, pp. 1-13. 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 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. New York, New York, USA: Association for Computing Machinery, 2018. p. 1-13 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).

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

TY - GEN

T1 - Back to analogue

T2 - Self-reporting for Parkinson's Disease

AU - Vega, Julio

AU - Couth, Samuel

AU - Poliakoff, Ellen

AU - Kotz, Sonja

AU - Sullivan, Matthew

AU - Jay, Caroline

AU - Vigo, Markel

AU - Harper, Simon

PY - 2018/4/21

Y1 - 2018/4/21

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. However, after testing four prototypes using Bluetooth, NFC and microcontrollers we accomplished almost full compliance and high acceptance using a paper diary to track between-day fluctuations over 12 weeks. This diary is tailored to patients’ condition, does not require any handwriting, allows for implicit reminders, provides recording flexibility and 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. However, after testing four prototypes using Bluetooth, NFC and microcontrollers we accomplished almost full compliance and high acceptance using a paper diary to track between-day fluctuations over 12 weeks. This diary is tailored to patients’ condition, does not require any handwriting, allows for implicit reminders, provides recording flexibility and 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

UR - http://www.scopus.com/inward/record.url?scp=85046939842&partnerID=8YFLogxK

U2 - 10.1145/3173574.3173648

DO - 10.1145/3173574.3173648

M3 - Conference contribution

SN - 9781450356206

T3 - Conference on Human Factors in Computing Systems - Proceedings

SP - 1

EP - 13

BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

CY - New York, New York, USA

ER -

Vega J, Couth S , Poliakoff E, Kotz S, Sullivan M, Jay C et al. Back to analogue: Self-reporting for Parkinson's Disease. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. New York, New York, USA: Association for Computing Machinery. 2018. p. 1-13. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3173574.3173648

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

Abstract

Publication series

Keywords

Research Beacons, Institutes and Platforms

Access to Document

Other files and links

Fingerprint

Manchester Centre for Audiology and Deafness (ManCAD)

Cite this

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

Abstract

Publication series

Keywords

Research Beacons, Institutes and Platforms

Access to Document

Other files and links

Fingerprint

Projects

Manchester Centre for Audiology and Deafness (ManCAD)

Cite this