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Exploring Different User Interfaces for Velocity based Training using Smart Gym Machines: Pilot Study

With the emerging technology called the Internet of Things (IoT), we can now connect computing devices and sensors to the Internet. The IoT sensors serve to collect data, pushing it and sharing it with a whole network of connected devices. We decided to explore how to utilize IoT data to increase the user experience from a commercial gym application called Advagym. Advagym is a commercial solution already available in the market, which aims to digitize the gym experience, where a retrofit solution is used to fit IoT devices on gym machines to track performance data from users’ workouts. The main goal of this paper is to utilize IoT data from Advagym’s IoT sensors for velocity-based training (VBT) and conduct a comparative study of three different user interfaces presenting VBT data to increase the user experience. The main contribution of this paper is an analysis of user preferences regarding the user interface of VBT feedback during a gym workout.