Self-studying environment with imagery rehearsal for a ball-carrier in basketball

Abstract

This study focuses on a player who carries a ball in basketball and develops a learning support environment for the player’s selecting action. In this study, the targeting actions for next time are passing, dribbling, and shooting as the basic actions for the selection. In order for learners to select an action according to the situation, we apply the Delaunay diagram, which is defined from a two-dimensional overhead view of the court, to automatically extract possible options of the next actions. The system applies an estimation indicator in respect to shooting possibility to the extracted options. The indicator is estimated based on the positions of the ball carrier, other players, and the goal represented in the game data. This indexed value is called "My Recommendation" indicating the degree of potential success. We developed a system to present the extracted action options and the degree of recommendation to a learner. When a 2D-animation is shown in this system, the action options are suggested by colored arrows starting from the ball carrier to the target option. Through the prototype use, learners could learn typical behavior patterns.