Common metrics for human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Commonality of control paradigms for unmanned systems
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Human Performance Issues and User Interface Design for Teleoperated Robots
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Validating human-robot interaction schemes in multitasking environments
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Simultaneous teleoperation of multiple social robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Field trial for simultaneous teleoperation of mobile social robots
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Sketch and run: a stroke-based interface for home robots
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lead me by the hand: evaluation of a direct physical interface for nursing assistant robots
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Managing workload in human-robot interaction: A review of empirical studies
Computers in Human Behavior
Observations on single operator performance controlling two UGVs in a field assessment
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
Assessing unmanned ground vehicle tactical behaviors performance
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
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An experiment was conducted on aspects of human-robot interaction in a field environment using the U.S. Army's Experimental Unmanned Vehicle (XUV). Goals of this experiment were to examine the use of scalable interfaces and to examine operator span of control when controlling one versus two autonomous unmanned ground vehicles. We collected workload ratings from two Soldiers after they had performed missions that included monitoring, downloading and reporting on simulated reconnaissance, surveillance, and target acquisition (RSTA) images, and responding to unplanned operator intervention requests from the XUV. Several observations are made based on workload data, experimenter notes, and informal interviews with operators.