Analyzing social situations for human-robot interaction

Alan R. Wagner, Ronald C. Arkin

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, principled, and general approach to explore interactive robotics problems.

Original languageEnglish (US)
Pages (from-to)277-300
Number of pages24
JournalInteraction Studies
Volume9
Issue number2
DOIs
StatePublished - Aug 26 2008

Fingerprint

situation analysis
Human robot interaction
robots
social situation
robot
Robots
interaction
psychological theory
Information use
interdependence
Robotics
experiment
methodology
Robot
Human-robot Interaction
Social Situation
Values
Experiments
Interaction

All Science Journal Classification (ASJC) codes

  • Communication
  • Language and Linguistics
  • Animal Science and Zoology
  • Linguistics and Language
  • Human-Computer Interaction

Cite this

Wagner, Alan R. ; Arkin, Ronald C. / Analyzing social situations for human-robot interaction. In: Interaction Studies. 2008 ; Vol. 9, No. 2. pp. 277-300.
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Analyzing social situations for human-robot interaction. / Wagner, Alan R.; Arkin, Ronald C.

In: Interaction Studies, Vol. 9, No. 2, 26.08.2008, p. 277-300.

Research output: Contribution to journalArticle

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