smartwatches, health, fitness, mobile applications
This thesis describes a smartwatch solution, called Bench Tracker for fitness monitoring using Apple Watches and Apple iPhone devices. The system involves a mobile based application that allows users to track and monitor bench press workouts in real-time to create actionable insights. By creating actionable insights on a smartwatch application, and improving the application’s usability through simplification, users agreed they would use the fitness application created that specifically tracked bench presses. A leading fitness app was used as the comparator, and it was discovered that users were undecided if they would use this app for bench press tracking. This paper presents the relevant background of work in this area, the system architecture that was designed and developed to support this application, the app, the analysis of how data collected from the Apple Watch provides ‘actionable insights’, and a report on the findings of real use test case scenarios.
Overall it was discovered that Bench Tracker was successful in providing a high level of actionable insight to users by having a high level usability. This was demonstrated by creating a niche fitness application (Bench Tracker) that had the core workflow and purpose to monitor users bench press. This was validated by the System Usability Scale (SUS) test which was 75.2 for Bench Tracker and in contrast a leading fitness application tested in the study 57.5 (68 is considered average)
Faculty of Applied Science & Technology (FAST)
© Chris Campanelli, 2018
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Original Publication Citation
Campanelli, C. (2019). Bench tracker: Improving actionable insights in smartwatch fitness application by increasing usability through simplification (Unpublished thesis). Sheridan College, Ontario, Canada.
Campanelli, Chris, "Bench Tracker: Improving Actionable Insights in Smartwatch Fitness Application by Increasing Usability Through Simplification" (2019). Faculty of Applied Science and Technology - Exceptional Student Work, Applied Computing Theses. 2.