[3D1-GS-9] Human interface:

[3D1-GS-9-05] The Influence of Differences in Skill on Skill Model Learning and Ball Throwing Simulation in VR

〇Yusuke Goutsu¹, Tetsunari Inamura¹ (1. Tamagawa University)

Keywords:User model, Virtual reality, Stochastic approach, Gaussian process

In this paper, we used a skill model that had learned physical movement to investigate how the differences in skill between novice and expert users would manifest themselves in the results of a virtual reality ball-throwing simulation. The results of the experiment showed that the stochastic time series prediction of the ball-throwing motion using the skill model based on GPDM drew a trajectory related to the hand position information that reflected the user's skill, and that the variance of the trajectory was reduced in the expert case. In addition, we confirmed that the variance of the landing point of the ball also becomes smaller when using a skill model constructed from learning data at the time of proficiency in the ball throwing simulation, just as the variance of the ball throwing motion also becomes smaller in actual ball throwing. The accurate prediction of the success rate of hitting the target in ball throwing using a skill model and ball throwing simulation is a future issue.