Telerobotics, automation, and human supervisory control
Telerobotics, automation, and human supervisory control
Attention allocation within the abstraction hierarchy
International Journal of Human-Computer Studies - Special issue on knowledge acquisition for planning
Humans and Automation: System Design and Research Issues
Humans and Automation: System Design and Research Issues
Introduction to Human Factors Engineering (2nd Edition)
Introduction to Human Factors Engineering (2nd Edition)
Common metrics for human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition
Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition
Identifying Predictive Metrics for Supervisory Control of Multiple Robots
IEEE Transactions on Robotics
Robotic systems technical and operational metrics correlation
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Towards unified performance metrics for multi-robot human interaction systems
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Flood disaster mitigation: a real-world challenge problem for multi-agent unmanned surface vehicles
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Metric selection for evaluating human supervisory control of unmanned vehicles
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
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Previous research has identified broad metric classes for human-automation performance to facilitate metric selection, as well as understanding and comparison of research results. However, there is still lack of an objective method for selecting the most efficient set of metrics. This research identifies and presents a list of evaluation criteria that can help determine the quality of a metric in terms of experimental constraints, comprehensive understanding, construct validity, statistical efficiency, and measurement technique efficiency. Future research will build on these evaluation criteria and existing generic metric classes to develop a cost-benefit analysis approach that can be used for metric selection.