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A Framework for Situation-based Social Interaction
2006
ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication
This paper presents a theoretical framework for computationally representing social situations in a robot. This work is based on interdependence theory, a social psychological theory of interaction and social situation analysis. We use interdependence theory to garner information about the social situations involving a human and a robot. We also quantify the gain in outcome resulting from situation analysis. Experiments demonstrate the utility of social situation information and of our
doi:10.1109/roman.2006.314432
dblp:conf/ro-man/WagnerA06
fatcat:dnsmhg4ccrbkffiolnk7cvu5vq