Analyzing social situations for human-robot interaction

被引：6

作者：

Wagner, Alan R. ^{[1
]}

Arkin, Ronald C. ^{[1
,2
]}

机构：

[1] Georgia Inst Technol, Coll Comp, GVU Ctr, Atlanta, GA 30308 USA

[2] LAAS, CNRS, Toulouse, France

来源：

INTERACTION STUDIES | 2008年 / 9卷 / 02期

关键词：

human-robot interaction; social situation; interdependence; situation analysis;

D O I：

10.1075/is.9.2.07wag

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

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.

引用

页码：277 / 300

页数：24

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