Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions

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

Abstract

Recent growth in the use of consumer self-tracking technologies has attracted attention from patients and healthcare providers alike, while researchers have begun to explore its value in the context of chronic health conditions. Sensemaking challenges faced by patients and clinicians have shifted the focus of self-tracking studies towards co-interpretation. Yet workflow constraints and conflicting interests remain barriers to the integration of self-tracking data into clinical conversations. My research aims to address these issues with designs of interactive systems that support the collaborative use of patient self-tracking data.

Original languageEnglish
Title of host publicationDIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference
Place of PublicationNew York, U. S. A
PublisherAssociation for Computing Machinery
Pages93-96
Number of pages4
ISBN (Electronic)9781450362702
DOIs
Publication statusPublished - 18 Jun 2019
Event2019 ACM Conference on Designing Interactive Systems, DIS 2019 - San Diego, USA United States
Duration: 23 Jun 201928 Jun 2019

Publication series

NameDIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference

Conference

Conference2019 ACM Conference on Designing Interactive Systems, DIS 2019
CountryUSA United States
CitySan Diego
Period23/06/1928/06/19

Keywords

  • Ankylosing spondylitis
  • Chronic conditions
  • Personal informatics
  • Self-tracking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction

Cite this

Hue, W. (2019). Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions. In DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference (pp. 93-96). (DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference). New York, U. S. A: Association for Computing Machinery. https://doi.org/10.1145/3301019.3324877

Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions. / Hue, William.

DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference. New York, U. S. A : Association for Computing Machinery, 2019. p. 93-96 (DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference).

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

Hue, W 2019, Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions. in DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference. DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference, Association for Computing Machinery, New York, U. S. A, pp. 93-96, 2019 ACM Conference on Designing Interactive Systems, DIS 2019, San Diego, USA United States, 23/06/19. https://doi.org/10.1145/3301019.3324877
Hue W. Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions. In DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference. New York, U. S. A: Association for Computing Machinery. 2019. p. 93-96. (DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference). https://doi.org/10.1145/3301019.3324877
Hue, William. / Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions. DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference. New York, U. S. A : Association for Computing Machinery, 2019. pp. 93-96 (DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference).
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