Abstract
Researchers have proposed models of curiosity as a means to drive robots to learn and adapt to their environments. While these models balance goal- A nd exploration-oriented actions in a mathematically principled manor, it is not understood how users perceive a robot that pursues off-task actions. Motivated by a model of curiosity based on intrinsic rewards, we conducted three online video-surveys with a total of 264 participants, evaluating a variety of curious behaviors. Our results indicate that a robot's off-task actions are perceived as expressions of curiosity, but that these actions lead to a negative impact on perceptions of the robot's competence. When the robot explains or acknowledges its deviation from the primary task, this can partially mitigate the negative effects of off-task actions.
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Walker, N., Weatherwax, K., Allchin, J., Takayama, L., & Cakmak, M. (2020). Human perceptions of a curious robot that performs off-task actions. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 529–538). IEEE Computer Society. https://doi.org/10.1145/3319502.3374821
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