Investigating Kinect-based fighting game AIs that encourage their players to use various skills

This paper investigates AIs that increase their players´ amount of exercise by encouraging the usage of various skills in fighting game FightingICE, recently used in a number of game AI competitions. Our research aim is to develop such AIs for promoting players´ health with fighting games that use Kinect as the input interface. In our experiment, two types of AIs are used as the opponent against a human player. One of the AIs is based on the k-nearest neighbor algorithm and fuzzy control, and the other is based on UCT, a variation of Monte-Carlo Tree Search. Our results show that the players, participating in the experiment, use more different skills, thus demonstrating higher action entropy, when playing the game against the UCT AI.