Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 05, 2019 - June 08, 2019
Work efficiency of teleoperation of heavy machinery is less than a half of boarding operation because of difficulties in creating mental representation of work sites. Thus, we proposed a pre-offering view system for teleoperators to remember environmental information, which helps operators plan paths and working strategies, but some operators forgot their planning. Problems of previous researches including the navigation field are not considering changes of work states including moving and reaching and cognitive load. Therefore, in this paper, we develop a planning reminder system with low cognitive load which can adopt changes of work states. We display different AR depending on work states. Furthermore, we display AR only for current and next work states while operators are in low cognitive load to avoid increasing cognitive load to watch AR. The experimental results using a scale model indicates that the proposed system can decrease work time and cognitive load.
