Human Perceptions of a Curious Robot that Performs Off-Task Actions
N. Walker, K. Weatherwax, J. Alchin, L. Takayama, and M. Cakmak, “Human Perceptions of a Curious Robot that Performs Off-Task Actions,” in ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar. 2020, pp. 529–538, doi: 10.1145/3319502.3374821.
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- 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.
BibTeX Entry
@inproceedings{walker2020perceptions,
title = {Human Perceptions of a Curious Robot that Performs Off-Task Actions},
author = {Walker, Nick and Weatherwax, Kevin and Alchin, Julian and Takayama, Leila and Cakmak, Maya},
year = {2020},
month = mar,
booktitle = {ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
location = {Oxford, UK},
pages = {529–538},
doi = {10.1145/3319502.3374821},
isbn = {9781450367462},
type = {conference},
video = {https://www.youtube.com/watch?v=1j91ISstdH8}
}