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Using activity theory as a framework for the usability evaluation process and task determination in mhealth self-management systems for diabetes
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0002-9854-7690
2018 (English)In: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH (PHEALTH 2018), IOS Press , 2018, Vol. 249, p. 158-163Conference paper, Published paper (Refereed)
Abstract [en]

mHealth systems can be used for patients in their diabetes selfmanagement, but usability evaluations are often needed to determine how to make them more useful for the diabetes patient user in the monitoring and managing of their disease. Activity Theory (AT) was developed within Russian psychology to define the work and activity process in an activity system. AT was here considered to also be a particularly suitable framework for inspiration in usability evaluation both for the whole evaluation process and also for the usability task determination in this process for diabetes patient users. In the following paper, examples are provided from four usability studies using both user-based and expert usability methods in evaluation showing how AT was applied to guide the thoughts in evaluating the usability of two mHealth self-management systems for diabetes. Experiences and insights are provided from this process. © 2018 The authors and IOS Press. All rights reserved.

Place, publisher, year, edition, pages
IOS Press , 2018. Vol. 249, p. 158-163
Series
Studies in Health Technology and Informatics, ISSN 0926-9630
Keywords [en]
Activity Theory, Diabetes, Mobile Health, Usability Evaluation
National Category
Endocrinology and Diabetes Other Medical Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:bth-16796DOI: 10.3233/978-1-61499-868-6-158ISI: 000492875900018Scopus ID: 2-s2.0-85049009137ISBN: 9781614998679 (print)OAI: oai:DiVA.org:bth-16796DiVA, id: diva2:1232574
Conference
15th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2018; Gjovik; Norway
Available from: 2018-07-12 Created: 2018-07-12 Last updated: 2019-11-14Bibliographically approved

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Georgsson, Mattias

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf