Using Human Performance Modeling Tool to Predict Fluid Powered Rescue Robot Operator Performance
Rescue robots play an important role in todays urban search and rescue missions. Recently, there are efforts to use alternative power source such as fluid power to design new generation recue robots. This research uses a discrete event simulation tool - Micro Saint to model operator performance in a fluid powered rescue robot system. A thorough task analysis was conducted for the system. GOMS model was developed for the rescue robot systems. Task networks were developed to model operator performance. In particular, appropriate distributions were determined for each task in the model. An empirical study using a factorial design was conducted to investigate the impact of operator expertise (expert vs. novice) and navigation control (haptic control vs. joystick control) on operator performance using the developed models. Results indicated that operator performance can be predicted by the Micro Saint model and there were significant interaction effect between expertise and navigation control. Findings from this research can provide suggestions to rescue robot system designers.
Antonio Lee Xiaochun Jiang Zongliang Jiang Eui Park
Department of Industrial and Systems EngineeringNorth Carolina A&T State University1601 E Market StG Department of Industrial and Systems Engineering North Carolina A&T State University 1601 E Market S
国际会议
17th World Congress on Ergonomics(第十七届国际人类工效学大会)
北京
英文
1-6
2009-08-09（万方平台首次上网日期，不代表论文的发表时间）