HappyFit: Time-aware Visualization for Daily Physical Activity and Virtual Reality Games

Virtual reality exergames have been demonstrated to provide high levels of exertion compared to traditional exercise, while players perceive less exertion. However, it is hard for people to be confident of whether they get the recommended levels of exercise. In this work, we present the "HappyFit" aesthetic interface that has been designed to be a pleasing ambient display that enables people to see their long-term user model of physical activity. The user model interface has been particularly designed to distinguish the source of the exercise and the user model is inferred from combinations of sensor data from worn devices that track steps and heart-rate. We show how "HappyFit" enables a person to gain an overview of the relative contributions of their exercise from both walking in daily life and playing virtual reality exergames. Our core contribution is the exploration of how to harness long term sensor data to build user models with aesthetic user interfaces that enable people to review and reflect on their physical activity.