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Human mental models of humanoid robots

  • Sau Lai Lee*
  • , Ivy Yee Man Lau
  • , Sara Kiesler
  • , Chi Yue Chiu
  • *Corresponding author for this work
  • Carnegie Mellon University
  • The University of Hong Kong
  • University of Illinois at Urbana-Champaign

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Conference on Robotics and Automation
Pages2767-2772
Number of pages6
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Robotics and Automation - Barcelona, Spain
Duration: 18 Apr 200522 Apr 2005

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2005
ISSN (Print)1050-4729

Conference

Conference2005 IEEE International Conference on Robotics and Automation
Country/TerritorySpain
CityBarcelona
Period18/04/0522/04/05

Keywords

  • Dialogue
  • Human-robot interaction
  • Humanoids
  • Perception
  • Social robots

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