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Cited by 349

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The advisor robot: tracing people's mental model from a robot's physical attributes

Powers, Aaron, Kiesler, Sara·2006·Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

Abstract

Humanoid robots offer many physical design choices such as voice frequency and head dimensions. We used hierarchical statistical mediation analysis to trace differences in people's mental model of robots from these choices. In an experiment, a humanoid robot gave participants online advice about their health. We used mediation analysis to identify the causal path from the robot's voice and head dimensions to the participants' mental model, and to their willingness to follow the robot's advice. The male robot voice predicted impressions of a knowledgeable robot, whose advice participants said they would follow. Increasing the voice's fundamental frequency reduced this effect. The robot's short chin length (but not its forehead dimensions) predicted impressions of a sociable robot, which also predicted intentions to take the robot's advice. We discuss the use of this approach for designing robots for different roles, when people's mental model of the robot matters.

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Metadata

Authors
Powers, A., & Kiesler, S.
Venue
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Publisher
ACM
Published
2006-03-02
Pages
218-225
OpenAlex
W2018372581
Cited by
349
References
40
FWCI
13.93
Type
conference paper
Language
en
Open access
closed

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Powers, A., & Kiesler, S. (2006). The advisor robot: tracing people's mental model from a robot's physical attributes. Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. https://doi.org/10.1145/1121241.1121280

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