Automatic adjustment of a virtual teacher's model in a learning support system

Abstract

It is known that a virtual teachermodel’s position and orientation influence (a) the number of errors, and (b) the accomplishment time, in physical-task learning using mixed reality (MR) environments [1]. This paper proposes an automatic method to adjust the virtual teacher’s orientation according to a given task motion. Through always showing the physical task’s critical features regardless of changes in position, mimicking errors regarding the respective task are expected to be minimized. Thus, this research is considered to advance transferring skills of physical tasks. It can also be applied to remote collaborative work.