Extreme work teams: using SWAT teams as a model for coordinating distributed robots
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
A decomposition of UAV-related situation awareness
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Effects of adaptive robot dialogue on information exchange and social relations
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Challenges to grounding in human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Autonomy and Common Ground in Human-Robot Interaction: A Field Study
IEEE Intelligent Systems
Beyond usability evaluation: analysis of human-robot interaction at a major robotics competition
Human-Computer Interaction
Whose job is it anyway? a study of human-robot interaction in a collaborative task
Human-Computer Interaction
A computational model of multi-modal grounding for human robot interaction
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
Autonomous vs. tele-operated: how people perceive human-robot collaboration with hrp-2
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Proceedings of the 6th international conference on Human-robot interaction
Familiarization to robot motion
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Collaborative effort towards common ground in situated human-robot dialogue
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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In this paper, we present a user study of a new collaborative communication method between a user and remotely-located robot performing an exploration task. In the studied scenario, our user possesses scientific expertise but not necessarily detailed knowledge of the robot's capabilities, resulting in very little common ground between the user and robot. Because the robot is not available during mission planning, we introduce a robot proxy to build common ground with the user. Our robot proxy has the ability to provide feedback to the user about the user's plans before the plans are executed. Our study demonstrated that the use of the robot proxy resulted in improved performance and efficiency on an exploration task, more accurate mental models of the robot's capabilities, a stronger perception of effectiveness at the task, and stronger feelings of collaboration with the robotic system.