A Usability Evaluation of Diabetes Mobile Applications

Meng Hsueh Hsieh, Yu Ching Chen, Chun Heng Ho

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

4 Citations (Scopus)

Abstract

Technology has been demonstrated to have positive impact on diabetes self-care while usability of applications in diabetes self-care remains to be explored. Evidence-based study on usability is needed to justify the adoption of health information systems for diabetes. The aim of this study was to evaluate and compare the usability of three existing mobile applications for diabetes self-care. This study assessed the usability of the diabetes applications in terms of usability testing. A total of 30 participants (15 men and 15 women) with type 2 diabetes were enrolled in the usability evaluation. The participants had a mean age of 60.03 years (SD = 8.92). The participants were first time users of the three applications to be assessed. After completing a set of three task scenarios, participants evaluated the application with System Usability Scale (SUS). When operating the applications, participants were instructed to follow think-aloud protocol. The results showed that the mean SUS score of App 3 was significantly higher than scores of App 1 and App 2. No significant effect of gender on the SUS scores was found. Taken together, high SUS score, presented screenshots of the operation process, and pros identified by the participants during the think-aloud protocol serve as the proxy to design diabetes self-care applications attaining higher level of usability.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Design Practice in Contemporary Societies - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages3-15
Number of pages13
ISBN (Print)9783030226350
DOIs
Publication statusPublished - 2019
EventThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11568 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/TerritoryUnited States
CityOrlando
Period19-07-2619-07-31

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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