Patient Perspectives on Self-Management Technologies for Chronic Fatigue Syndrome

Tabby Davies, Simon Jones, Ryan Kelly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
41 Downloads (Pure)

Abstract

Chronic Fatigue Syndrome (CFS) is a debilitating medical condition that is characterized by a range of physical, cognitive and social impairments. This paper investigates CFS patients' perspectives on the potential for technological support for self-management of their symptoms. We report findings from three studies in which people living with CFS 1) prioritized symptoms that they would like technologies to address, 2) articulated their current approaches to self-management alongside challenges they face, and 3) reflected on their experiences with three commercial smartphone apps related to symptom management. We contribute an understanding of the specific needs of the ME/CFS population and the ways in which they currently engage in self-management using technology. The paper ends by describing five high-level design recommendations for ME/CFS self-management technologies.
Original languageEnglish
Title of host publicationCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages1-13
Number of pages13
ISBN (Electronic)978-1-4503-5970-2
DOIs
Publication statusPublished - 4 May 2019
EventACM CHI Conference on Human Factors in Computing Systems 2019 (CHI2019) - Glasgow, UK United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameCHI: Conference on Human Factors and Computing Systems
PublisherACM Press
ISSN (Electronic)1062-9432

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems 2019 (CHI2019)
Abbreviated titleCHI2019
CountryUK United Kingdom
CityGlasgow
Period4/05/199/05/19

Keywords

  • Chronic fatigue syndrome
  • Myalgic encephalomyelitis
  • Self-management
  • Self-tracking

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Davies, T., Jones, S., & Kelly, R. (2019). Patient Perspectives on Self-Management Technologies for Chronic Fatigue Syndrome. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-13). [222] (CHI: Conference on Human Factors and Computing Systems). New York: Association for Computing Machinery. https://doi.org/10.1145/3290605.3300452