Usability evaluation of heart disease monitoring mobile applications: A comparative study

Muhammad Sobri, Mohamad Taha Ijab, Norshita Mat Nayan

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

Abstract

Heart disease is one of the most prominent silent killers in the world. Further, treating the heart disease problems is considerably costly. In the era of the Fourth Industrial Revolution (4IR), many heart disease monitoring mobile applications are available on Google Play and Apple App Store. These applications enable the patients to carry out self-monitoring of their heart conditions practically easy. This study aims to conduct usability evaluations of selected heart disease monitoring mobile applications from the perspective of the heart patients. The compared applications are: (i) Cardiag Diagnosis, (ii) iCare Health Monitoring Full, and (iii) Heart Rate Plus. These applications were evaluated and compared based on the features offered by the applications as well as their common usability elements: (i) learnability, (ii) efficiency, (iii) memorability, (iv) error, and (v) satisfaction. This comparative study adopted the Post-Study System Usability Questionnaire (PSSUQ) in evaluating heart disease monitoring mobile applications. The study recruited twenty heart patients in a hospital in Palembang, Indonesia. From the participants’ assessments, the study found that the applications: (i) offer peripheral features unnecessary to the users, (ii) slowness in providing results (i.e., measurement and/or feedback), (iii) unmemorable features, and (iv) results of measurements are perceived to be dubious and unreliable. This paper theoretically contributes to provide recommendations to application developers and usability designers on the importance of meeting the usability elements desired by the users, especially mobile applications for chronic diseases.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings
EditorsHalimah Badioze Zaman, Nazlena Mohamad Ali, Mohammad Nazir Ahmad, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi
PublisherSpringer
Pages653-662
Number of pages10
ISBN (Print)9783030340315
DOIs
Publication statusPublished - 1 Jan 2019
Event6th International Conference on Advances in Visual Informatics, IVIC 2019 - Bangi, Malaysia
Duration: 19 Nov 201921 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11870 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Advances in Visual Informatics, IVIC 2019
CountryMalaysia
CityBangi
Period19/11/1921/11/19

Fingerprint

Usability Evaluation
Mobile Applications
Comparative Study
Monitoring
Usability
Learnability
Chronic Disease
Apple
Heart
Heart Rate
Health Monitoring
Questionnaire
Recommendations
Application programs
Health
Feedback

Keywords

  • Cardiac monitoring
  • Chronic diseases
  • Human computer interaction
  • mHealth
  • PSSUQ

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sobri, M., Ijab, M. T., & Nayan, N. M. (2019). Usability evaluation of heart disease monitoring mobile applications: A comparative study. In H. Badioze Zaman, N. Mohamad Ali, M. N. Ahmad, A. F. Smeaton, T. K. Shih, S. Velastin, & T. Terutoshi (Eds.), Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings (pp. 653-662). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11870 LNCS). Springer. https://doi.org/10.1007/978-3-030-34032-2_58

Usability evaluation of heart disease monitoring mobile applications : A comparative study. / Sobri, Muhammad; Ijab, Mohamad Taha; Nayan, Norshita Mat.

Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. ed. / Halimah Badioze Zaman; Nazlena Mohamad Ali; Mohammad Nazir Ahmad; Alan F. Smeaton; Timothy K. Shih; Sergio Velastin; Tada Terutoshi. Springer, 2019. p. 653-662 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11870 LNCS).

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

Sobri, M, Ijab, MT & Nayan, NM 2019, Usability evaluation of heart disease monitoring mobile applications: A comparative study. in H Badioze Zaman, N Mohamad Ali, MN Ahmad, AF Smeaton, TK Shih, S Velastin & T Terutoshi (eds), Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11870 LNCS, Springer, pp. 653-662, 6th International Conference on Advances in Visual Informatics, IVIC 2019, Bangi, Malaysia, 19/11/19. https://doi.org/10.1007/978-3-030-34032-2_58
Sobri M, Ijab MT, Nayan NM. Usability evaluation of heart disease monitoring mobile applications: A comparative study. In Badioze Zaman H, Mohamad Ali N, Ahmad MN, Smeaton AF, Shih TK, Velastin S, Terutoshi T, editors, Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. Springer. 2019. p. 653-662. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-34032-2_58
Sobri, Muhammad ; Ijab, Mohamad Taha ; Nayan, Norshita Mat. / Usability evaluation of heart disease monitoring mobile applications : A comparative study. Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. editor / Halimah Badioze Zaman ; Nazlena Mohamad Ali ; Mohammad Nazir Ahmad ; Alan F. Smeaton ; Timothy K. Shih ; Sergio Velastin ; Tada Terutoshi. Springer, 2019. pp. 653-662 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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