The central research question of this work is can robot motioneffectively communicate distinct robot personalities? In this study,we implemented three distinct robot motion personalities inspiredby a subset of the seven dwarfs: Happy, Sleepy, and Grumpy. Weimplemented autonomous motion generation systems that mappedeach personality to path shape, timing, and seeking/avoidance ofthe participant features. A user study demonstrated that our 24participants could distinguish these personalities. Robot motionstyle predicted robot personality features such as politeness, friend-liness, and intelligence, which, for the most part, matched logicallyto the intended dwarf personality designs. These results indicatethat robot motion style is sufficient to indicate a robot's personalityduring its interactive behaviors with people.
CITATION STYLE
Agnihotri, A., Chan, A., Hedaoo, S., & Knight, H. (2020). Distinguishing robot personality from motion. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 87–89). IEEE Computer Society. https://doi.org/10.1145/3371382.3378389
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