Work

Human Mental Models of Humanoid Robots

Year: 2006

Type: conference-paper

Abstract: Effective communication between a person and a robot may depend on whether there exists a common ground of understanding between the two. In two experiments modelled after human-human studies we examined how people form a mental model of a robot’s factual knowledge. Participants estimated the robot’s knowledge by extrapolating from their own knowledge and from information about the robot’s origin and language. These results suggest that designers of humanoid robots must attend not only to the social cues that robots emit but also to the information people use to create mental models of a robot.

Source: Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI: 10.1109/robot.2005.1570532

Authors: Sau-lai Lee, Ivy Yee-man Lau, S. Kiesler, Chi-Yue Chiu

Institutions: Carnegie Mellon University, University of Hong Kong, University of Illinois Urbana-Champaign

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

Funder: National Science Foundation

Award: ITR/PE: Cognitive and Social Design of Robotic Assistants