It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Children and robots learning to play hide and seek
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Understanding human intentions via hidden markov models in autonomous mobile robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
An Embodied Cognition Approach to Mindreading Skills for Socially Intelligent Robots
International Journal of Robotics Research
No fair!!: an interaction with a cheating robot
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Enabling effective human-robot interaction using perspective-taking in robots
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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We present our implementation of a self-as-simulator architecture for mental state manipulation through physical action. The robot attempts to model how a human's mental states are updated through their visual perception of the world around them. This modeling, combined with geometrically detailed, perspective correct simulations of the immediate future, allows the robot to choose actions which influence the human's mental states through their visual perception. The system is demonstrated in a competitive game scenario, where the robot attempts to manipulate the mental states of an individual in order to win. We evaluate people's reaction to the system, focusing on the participants' perception of a robot with mental state manipulation capabilities.