Paweł W. Woźniak
Utrecht University, Utrecht, Netherlands
Running is a widely popular physical activity that offers many health benefits. As runners progress with their training, understanding one's own body becomes a key concern in achieving wellbeing through running. While extensive bodily sensing opportunities exist for runners, understanding complex sensor data is a challenge. In this paper, we investigate how data from shoe-worn sensors can be visualised to empower runners to improve their technique. We designed GraFeet-an augmented running shoe that visualises kinesiological data about the runner's feet and gait. We compared our prototype with a standard sensor dashboard in a user study where users ran with the sensor and analysed the generated data after the run. GraFeet was perceived as more usable; producing more insights and less confusion in the users. Based on our inquiry, we contribute findings about using data from body-worn sensors to support physically active individuals.
https://doi.org/10.1145/3411764.3445506
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)