Analyzing social situations for human-robot interaction

Alan R. Wagner, Ronald C. Arkin

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


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
Issue number2
StatePublished - 2008

All Science Journal Classification (ASJC) codes

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


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