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A Human Factors Approach to Unmanned Ground Vehicle Operator Control Unit Interface Research
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English
Abstract
The U.S. Army Research Laboratory's (ARL) Human Research & Engineering Directorate (HRED) is currently pursuing various research and development projects focused on investigating man-machine interface (MMI) issues associated with military unmanned ground vehicles (UGVs). HRED's UGV technology base is dedicated to pursuing research efforts that develop methods of measuring operator performance and workload and that can identify control and display interfaces that take into account an operator's limitations and preferences for remote operation.
HRED, in cooperation with Cybernet Systems Corporation under a research contract, began to collect data on UGV operator remote driving performance for typical driving tasks, as a function of telepresence feedback. Through field testing and experimentation using a teleoperated high mobility multipurpose wheeled vehicle (HMMWV), we began to understand the teleoperator's focus of attention during remote and onboard driving in order to identify critical MMI. This work has highlighted the differences between onboard and remote vehicle driving as a function of sensory feedback, performance, and workload and has established a methodology to direct human factors-driven development of UGV operator control stations.
Authors
Citation
Haduch, T. and Mitchell, B., "A Human Factors Approach to Unmanned Ground Vehicle Operator Control Unit Interface Research," SAE Technical Paper 951482, 1995, https://doi.org/10.4271/951482.Also In
References
- Allendar Manpower-Based System Evaluation Aid (MAN-SEVAL) User's Guide HRED Publication February 1993
- Bierbaum Szabo Aldrich Task analysis of the UH-60 mission prediction model I Alexandria, VA US Army Research Institute for the Behavioral Social Sciences 1989
- Debellis, Cook Remote Driving with an Expanded Visual Presentation HRED Experimental Protocol January 1994
- Mitchell Yager Suarez Griffin Siebert Cognitive Strategies in UGV Navigation Report CSC-95-233-1 Cybernet Systems Corporation Ann Arbor, MI January 1995
- Scribner Modeling Workload for Teleoperation: An Examination of Different Sensory Feedback Modes HRED Report February 1995