Article published in:
Human and Robot Interactive CommunicationEdited by Kerstin Dautenhahn
[Interaction Studies 9:2] 2008
► pp. 277–300
Analyzing social situations for human–robot interaction
Alan R. Wagner | Georgia Institute of Technology
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.
Published online: 26 May 2008
https://doi.org/10.1075/is.9.2.07wag
https://doi.org/10.1075/is.9.2.07wag
Cited by
Cited by 10 other publications
Andrés, Amara, Diego E. Pardo, Marta Díaz & Cecilio Angulo
Arkin, Ronald C., Matthias Scheutz & Linda Tickle-Degnen
Arkin, Ronald Craig, Patrick Ulam & Alan R. Wagner
Chiou, Erin K. & John D. Lee
Chiou, Erin K. & John D. Lee
de Oliveira, Ewerton, Laura Donadoni, Stefano Boriero & Andrea Bonarini
Wagner, Alan R. & Ronald C. Arkin
Wilkes, D.M., Stan Franklin, Erdem Erdemir, Stephen Gordon, Steve Strain, Karen Miller & Kazuhiko Kawamura
This list is based on CrossRef data as of 15 april 2022. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.