Researchers have proposed models of curiosity as a means to drive robots to learn and adapt to their environments. While these models balance goal- and 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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https://hci.top/en/papers/hri/38303/2020

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DOI: https://doi.org/10.1145/3319502.3374821
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HRI
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2020
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Human-Robot Collaboration (HRC)
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