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 proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
Place of PublicationNew York, New York, USA
PublisherAssociation for Computing Machinery
Number of pages13
ISBN (Electronic)9781450356206, 9781450356213
ISBN (Print)9781450356206
Publication statusPublished - 21 Apr 2018

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


  • EMA
  • Paper diary
  • Parkinson's Disease
  • Self-report

Research Beacons, Institutes and Platforms

  • Manchester Institute for Collaborative Research on Ageing


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