Auto-Hierarchical Data Algorithm: Focus on Increasing Users’ Motivation and Duration In Virtual Reality

Virtual reality (VR) exergames have become part of increasingly popular serious games because of both the fast development of VR technology and diversified dissemination of exergames. In this paper, we designed a built-in algorithm which based on the fatigue parameter to timely adjust the exergame's difficulty, especially in body-building/fitness exercise. The calculation method of fatigue index is obtained by using analytic hierarchy process (AHP) with six influencing factors: (1) average Heart Rate (avgHR); (2) Borg CR 6-20; (3) Calorie(s); (4) Accuracy Rate (Acc%); (5) Intensity; (6) Exercise time. Result from the experiments with 8 participants shows that the fitness exergame sorted by the auto-hierarchical algorithm we designed will be more effective than the traditional process by partly increasing both users' motivation and duration of playing exergame in the current phase.