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Usability Evaluation of Wearable Smartwatches Using Customized Heuristics and System Usability Scale Score

Author

Listed:
  • Majed A. Alshamari

    (Information System Department, College of Computer Sciences and Information Technology, King Faisal University, P.O. Box 400, Hofuf 79820, Saudi Arabia)

  • Maha M. Althobaiti

    (Department of Computer Science, College of Computing and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

Abstract

The mobile and wearable nature of smartwatches poses challenges in evaluating their usability. This paper presents a study employing customized heuristic evaluation and use of the system usability scale (SUS) on four smartwatches, along with their mobile applications. A total of 11 heuristics were developed and validated by experts by combining Nielsen’s heuristic and Motti and Caines’ heuristics. In this study, 20 participants used the watches and participated in the SUS survey. A total of 307 usability issues were reported by the evaluators. The results of this study show that the Galaxy Watch 5 scored highest in terms of efficiency, ease of use, features, and battery life compared to the other three smartwatches and has fewer usability issues. The results indicate that ease of use, features, and flexibility are important usability attributes for future smartwatches. The Galaxy Watch 5 received the highest SUS score of 87.375. Both evaluation methods showed no significant differences in results, and customized heuristics were found to be useful for smartwatch evaluation.

Suggested Citation

  • Majed A. Alshamari & Maha M. Althobaiti, 2024. "Usability Evaluation of Wearable Smartwatches Using Customized Heuristics and System Usability Scale Score," Future Internet, MDPI, vol. 16(6), pages 1-23, June.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:6:p:204-:d:1410195
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