Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Effective user interface design for rescue robotics
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Assessing the scalability of a multiple robot interface
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Shared environment representation for a human-robot team performing information fusion
Journal of Field Robotics - Special Issue on Teamwork in Field Robotics
Scalable Human-Robot Interactions in Active Sensor Networks
IEEE Pervasive Computing
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Myopic value of information in influence diagrams
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition
Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition
Field trial for simultaneous teleoperation of mobile social robots
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
On using mixed-initiative control: a perspective for managing large-scale robotic teams
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Human-robot communication for collaborative decision making - A probabilistic approach
Robotics and Autonomous Systems
Designing interfaces for multi-user, multi-robot systems
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
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Humans and robots need to exchange information if the objective is to achieve a task cooperatively. Two questions are considered in this paper: what type of information to communicate, and how to cope with the limited resources of human operators. Decision-theoretic human-robot communication can provide answers to both questions: the type of information is determined by the underlying probabilistic representation, and value-of-information theory helps decide when it is appropriate to query operators for information. A robot navigation task is used to evaluate the system by comparing it to conventional teleoperation. The results of a user study show that the developed system is superior with respect to performance, operator workload, and usability.