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Developing a model of robot behavior to identify and appropriately respond to implicit attention-shifting
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ACM/IEEE International Conference on Human-Robot Interaction archive
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction table of contents
La Jolla, California, USA
SESSION: Modeling social interaction table of contents
Pages 133-140  
Year of Publication: 2009
ISBN:978-1-60558-404-1
Authors
Fumitaka Yamaoka  ATR, Keihanna Science City, Kyoto, Japan
Takayuki Kanda  ATR, Keihanna Science City, Kyoto, Japan
Hiroshi Ishiguro  ATR, Keihanna Science City, Kyoto, Japan
Norihiro Hagita  ATR, Keihanna Science City, Kyoto, Japan
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we present our current research on developing a model of robot behavior that leads to feelings of being together using the robot's body position and orientation. Creating feelings of"being together"will be an essential skill for robots that live with humans and adapt to daily human activities such as walking together or establishing joint attention to information in the environment. We observe people's proxemic behavior in joint attention situations and develop a model of behavior for robots to detect a partner's attention shift and appropriately adjust its body position and orientation in establishing joint attention with the partner. We experimentally evaluate the effectiveness of our model, and our results demonstrate the model's effectiveness.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
Chris Moore and Philip J. Dunham (Ed.). Joint Attention: Its Origins and Role in Development. Lawrence Erlbaum Associates, 1995.
 
3
Hideki Kozima and Hiroyuki Yano. A robot that learns to communicate with human caregivers. In Proceedings of the First International Workshop on Epigenetic Robotics, 2001.
 
4
Yukie Nagai, Koh Hosoda, Akio Morita, and Minoru Asada. A constructive model for the development of joint attention. Connection Science, No. 4, pp. 211--229, 2003.74, 2000.
 
5
Brian Scassellati. Theory of mind for a humanoid robot. In Proc. of the 1st IEEE/RSJ International Conference on Humanoid Robots, pp. CD-ROM, 2000.
 
6
D. McNeill, Psycholinguistics: a new approach, 1987.
 
7
O. Sugiyama, T. Kanda, M. Imai, H. Ishiguro, and N. Hagita, Humanlike conversation with gestures and verbal cues based on a three-layer attention-drawing model,"Connection science, 18(4), pp. 379--402, 2006.
 
8
T. P. Spexard, S. Li, B. Wrede, M. Hanheide, E. A. Topp, H. Hutenrauch, Interaction Awareness for Joint Environment Exploration, Proceedings of the Special Session on Situation Awareness in Social Robots at the International Symposium on Robot and Human Interactive Communication (RO-MAN2007), pp. 546--551, 2007.
 
9
Cynthia Breazeal, Cory D. Kidd, Andrea Lockerd Thomaz, Guy Hoffman, Matt Berlin,"IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 383--388, 2005.
 
10
A. Kendon,"Conducting Interaction-Patterns of Behavior in Focused Encounters,"Cambridge University Press, 1990.
 
11
E. A. Sisbot, R. Alami, T. Simeon, K. Dautenhahn, M. Walters, S. Woods, K. L. Koay, and C. Nehaniv, Navigation in the Presence of Humans, IEEE-RAS International Conference on Humanoid Robots, 2005
 
12
E. Pacchierotti, H. I. Christensen, and P. Jensfelt, Design of an office guide robot for social interaction studies, In Proc. Int. Conf. Intelligent Robots and Systems (IROS2006), pp. 4965--4970, 2006.
13
 
14
M. L. Walters, D. S. Syrdal, K. L. Koay, K. Dautenhahn, and R. te Boekhorst, Human Approach Distances to a Mechanical-Looking Robot with Different Robot Voice Styles, IEEE Int. Symposium on Robot and Human Interactive Communication (Ro-Man 2008), pp. 707--712, 2008.
 
15
M. P. Michalowski, S. Sabanovic, and R. Simmons, A Spatial Model of Engagement for a Social Robot, IEEE International Workshop on Advanced Motion Control (AMC'06), pp. 762--767, 2006.
 
16
T. Tasaki, S. Matsumoto, H. Ohba, M. Toda, K. Komatani, T. Ogata, and H. G. Okuno, Dynamic Communication of Humanoid Robot with multiple People Based on Interaction Distance, IEEE Int. Workshop on Robot and Human Interactive Communication (Ro--Man 2004), pp. 71--76, 2004.
17
18
 
19
T. Kanda, H. Ishiguro, M. Imai, and T. Ono, Development and Evaluation of Interactive Humanoid Robots, Proceedings of the IEEE, Vol. 92, No. 11, pp. 1839--1850, 2004.

Collaborative Colleagues:
Fumitaka Yamaoka: colleagues
Takayuki Kanda: colleagues
Hiroshi Ishiguro: colleagues
Norihiro Hagita: colleagues