Turn Taking Based on Information Flow for Fluent Human-Robot Interaction

被引:23
作者
Thomaz, Andrea L. [1 ,2 ]
Chao, Crystal [3 ]
机构
[1] Georgia Inst Technol, Socially Intelligent Machines Lab, Robot & Intelligent Machines Ctr, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Graph Visualizat & Usabil Center, Atlanta, GA 30332 USA
[3] MIT, Cambridge, MA 02139 USA
关键词
D O I
10.1609/aimag.v32i4.2379
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Turn taking is a fundamental part of human communication. Our goal is to devise a turn-taking framework for human-robot interaction that, like the human skill, represents something fundamental about interaction, generic to context or domain. We propose a model of turn taking, and conduct an experiment with human subjects to inform this model. Our findings from this study suggest that information flow is an integral part of human floor-passing behavior. Following this, we implement autonomous floor relinquishing on a robot and discuss our insights into the nature of a genera turn-taking model for human-robot interaction.
引用
收藏
页码:53 / 63
页数:11
相关论文
共 19 条
[1]  
[Anonymous], P 4 ACM IEEE INT C H
[2]  
[Anonymous], 2002, Designing Sociable Robots
[3]  
Billard A, 2002, FROM ANIM ANIMAT, P281
[4]  
Bohus D., 2010, P 12 INT C MULT INT
[5]  
Breazeal C., 2004, INT J HUM ROBOT, V1, P1, DOI DOI 10.3389/FNB0T.2012.00003
[6]   The power of a nod and a glance:: Envelope vs. emotional feedback in animated conversational agents [J].
Cassell, J ;
Thórisson, KR .
APPLIED ARTIFICIAL INTELLIGENCE, 1999, 13 (4-5) :519-538
[7]  
Chao C., 2011, P 20 IEEE INT S ROB
[8]  
Duncan S., 1974, LANG SOC, V2, P161
[9]  
KAYE K, 1977, SOCIAL CONTEXT LEARN
[10]  
Kose-Bagci H, 2008, 2008 17TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2, P346, DOI 10.1109/ROMAN.2008.4600690