Adaptive Motion Gaming AI for Health Promotion

This paper presents a design of a non-player character (AI) for promoting balancedness in use of body segments when engaging in full-body motion gaming. In our experiment, we settle a battle between the proposed AI and a player by using FightingICE, a fighting game platform for AI development. A middleware called UKI is used to allow the player to control the game by using body motion instead of the keyboard and mouse. During gameplay, the proposed AI analyze health states of the player; it determines its next action by predicting how each candidate action, recommended by a Monte-Carlo tree search algorithm, will induce the player to move, and how the player's health tends to be affected. Our result demonstrates successful improvement in balancedness in use of body segments on 4 out of 5 subjects.Comment: A revised version of our paper for 2017 AAAI Spring Symposium Series (Well-Being AI: From Machine Learning to Subjective Oriented Computing), San Francisco,USA, Mar. 27-29, 2017. Revised contents, due to our correction of (8), are highlighted in red. Many apologies, but the effectiveness of the proposed method/approach in the paper still hold