Behavior-based control for time-delayed teleoperation
Behavior-based control for time-delayed teleoperation
Fan-out: measuring human control of multiple robots
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Common metrics for human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Human control of cooperating robots
Human control of cooperating robots
Virtual-RE: A Humanoid Robotic Soccer Simulator
CW '08 Proceedings of the 2008 International Conference on Cyberworlds
Generating human-like soccer primitives from human data
Robotics and Autonomous Systems
Identifying Predictive Metrics for Supervisory Control of Multiple Robots
IEEE Transactions on Robotics
Validating human-robot interaction schemes in multitasking environments
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Estimating robot performance in human robot teams is a vital problem in human robot interaction community. In a previous work, we presented extended neglect tolerance model for estimation of robot performance, where the human operator switches control between robots sequentially based on acceptable performance levels, taking into account any false alarms in human robot interactions. Task complexity is a key parameter that directly impacts the robot performance as well as the false alarms occurrences. In this paper, we validate the extended neglect tolerance model for two robot tasks of varying complexity levels. We also present the impact of task complexity on robot performance estimations and false alarms demands. Experiments were performed with real and virtual humanoid soccer robots across tele-operated and semi-autonomous modes of autonomy. Measured false alarm demand and robot performances were largely consistent with the extended neglect tolerance model predictions for both real and virtual robot experiments. Experiments also showed that the task complexity is directly proportional to false alarm demands and inversely proportional to robot performance.