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Creating and using matrix representations of social interaction

Author:

Alan R. WagnerAuthors Info & Claims

HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction

Pages 125 - 132

https://doi.org/10.1145/1514095.1514119

Published: 09 March 2009 Publication History

Abstract

This paper explores the use of an outcome matrix as a computational representation of social interaction suitable for implementation on a robot. An outcome matrix expresses the reward afforded to each interacting individual with respect to pairs of potential behaviors. We detail the use of the outcome matrix as a representation of interaction in social psychology and game theory, discuss the need for modeling the robot's interactive partner, and contribute an algorithm for creating outcome matrices from perceptual information. Experimental results explore the use of the algorithm with different types of partners and in different environments.

References

[1]

R. W. Byrne and A. Whiten, "Machiavellian intelligence," in Machiavellian Intelligence II: Extensions and Evaluations, A. Whiten and R. W. Byrne, Eds. Cambridge: Cambridge University Press, 1997, pp. 1--23.

[2]

N. K. Humphrey, "The social function of intellect," in Growing Points in Ethology, P. P. G. Bateson and R. A. Hinde, Eds., 1976, pp. 303--317.

[3]

R. Bar-On, D. Tranel, N. L. Denburg, and A. Bechara, "Exploring the neurological substrate of emotional and social intelligence," Brain, vol. 126, pp. 1790--1800, 2003.

[4]

H. H. Kelley and J. W. Thibaut, Interpersonal Relations: A Theory of Interdependence. New York, NY: John Wiley & Sons, 1978.

[5]

D. O. Sears, L. A. Peplau, and S. E. Taylor, Social Psychology. Englewood Cliffs, New Jersey: Prentice Hall, 1991.

[6]

M. J. Osborne and A. Rubinstein, A Course in Game Theory. Cambridge, MA: MIT Press., 1994.

[7]

R. Emery-Montemerlo, G. Gordon, J. Schneider, and S. Thrun, "Game Theoretic Control for Robot Teams," in Proceedings of International Conference on Robotics and Automation (ICRA), 2005.

[8]

T. Fong, I. Nourbakhsh, and K. Dautenhahn, "A survey of socially interactive robots," Robotics and Autonomous Systems, vol. 42, pp. 143--166, 2003.

[9]

Situation, in Encarta World English Dictionary, North American Edition, 2007.

[10]

R. Axelrod, The Evolution of Cooperation. New York: Basic Books, 1984.

[11]

A. R. Wagner and R. C. Arkin, "Representing and analyzing social situations for human-robot interaction," Interaction Studies, vol. 10, 2008.

[12]

A. Powers and S. Kiesler, "The advisor robot: tracing people's mental model from a robot's physical attributes," in Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. Salt Lake City, UT, USA, 2006.

Digital Library

[13]

D. Norman, "Some Observations on Mental Models," in Mental Models, D. Gentner and A. Stevens, Eds. Hillsdale, NJ: Lawrence Erlbaum Associates, 1983.

[14]

P. Abbeel and A. Ng, "Apprenticeship Learning via Inverse Reinforcement Learning," in International Conference on Machine Learning. Banff, Canada, 2004.

Digital Library

[15]

J. K. Rilling, A. G. Sanfey, J. A. Aronson, L. E. Nystrom, and J. D. Cohen, "The neural correlates of theory of mind within interpersonal interactions," NeuroImage, vol. 22, pp. 1694--1703, 2004.

[16]

R. Picard, Affective Computing. Cambridge, MA: The MIT Press, 2000.

Digital Library

[17]

M. Philipose, K. P. Fishkin, M. Perkowitz, D. J. Patterson, D. Fox, H. Kautz, and D. Hähnel, "Inferring activities from interactions with objects," IEEE Pervasive Computing, pp. 50--57, 2004.

Digital Library

[18]

A. R. Wagner, "A Representation for Interaction," in Proceedings of the ICRA 2008 Workshop: Social Interaction with Intelligent Indoor Robots (SI3R). Pasadena, CA, USA, 2008.

Cited By

Sharma SSinha A(2020)A Game-Theoretic Model of Deceptive Ambush as Counter Measure for Habitat Selection in Cross-Border InfiltrationDecision Analytics Applications in Industry10.1007/978-981-15-3643-4_8(107-125)Online publication date: 28-May-2020
https://doi.org/10.1007/978-981-15-3643-4_8
Wagner ARobinette PHoward A(2018)Modeling the Human-Robot Trust PhenomenonACM Transactions on Interactive Intelligent Systems10.1145/31528908:4(1-24)Online publication date: 16-Nov-2018
https://dl.acm.org/doi/10.1145/3152890
Wagner A(2016)Using Games to Learn Games: Game-Theory Representations as a Source for Guided Social LearningSocial Robotics10.1007/978-3-319-47437-3_5(42-51)Online publication date: 7-Oct-2016
https://doi.org/10.1007/978-3-319-47437-3_5
Show More Cited By

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Information

Published In

cover image ACM Conferences

HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction

March 2009

348 pages

ISBN:9781605584041

DOI:10.1145/1514095

General Chairs:
Matthias Scheutz
Indiana University, USA
,
François Michaud
Université de Sherbrooke, Canada
,
Program Chairs:
Pamela Hinds
Stanford University, USA
,
Brian Scassellati
Yale University, USA

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2009

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HRI09: International Conference on Human Robot Interaction

March 9 - 13, 2009

California, La Jolla, USA

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

Sharma SSinha A(2020)A Game-Theoretic Model of Deceptive Ambush as Counter Measure for Habitat Selection in Cross-Border InfiltrationDecision Analytics Applications in Industry10.1007/978-981-15-3643-4_8(107-125)Online publication date: 28-May-2020
https://doi.org/10.1007/978-981-15-3643-4_8
Wagner ARobinette PHoward A(2018)Modeling the Human-Robot Trust PhenomenonACM Transactions on Interactive Intelligent Systems10.1145/31528908:4(1-24)Online publication date: 16-Nov-2018
https://dl.acm.org/doi/10.1145/3152890
Wagner A(2016)Using Games to Learn Games: Game-Theory Representations as a Source for Guided Social LearningSocial Robotics10.1007/978-3-319-47437-3_5(42-51)Online publication date: 7-Oct-2016
https://doi.org/10.1007/978-3-319-47437-3_5
Robinette PWagner AHoward A(2016)Investigating Human-Robot Trust in Emergency Scenarios: Methodological Lessons LearnedRobust Intelligence and Trust in Autonomous Systems10.1007/978-1-4899-7668-0_8(143-166)Online publication date: 8-Apr-2016
https://doi.org/10.1007/978-1-4899-7668-0_8
Wagner A(2015)Robots that stereotypeJournal of Human-Robot Interaction10.5555/3109842.31098474:2(97-124)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.5555/3109842.3109847
Wagner ARobinette P(2015)Towards robots that trust: Human subject validation of the situational conditions for trustInteraction StudiesInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems10.1075/is.16.1.05wag16:1(89-117)Online publication date: 2015
https://doi.org/10.1075/is.16.1.05wag
Wagner ADoshi J(2013)Who, How, WhereProceedings of the 5th International Conference on Social Robotics - Volume 823910.1007/978-3-319-02675-6_48(481-490)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1007/978-3-319-02675-6_48
Wagner A(2012)Using cluster-based stereotyping to foster human-robot cooperation2012 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2012.6385704(1615-1622)Online publication date: Oct-2012
https://doi.org/10.1109/IROS.2012.6385704
Cuntoor NCollins RHoogs A(2012)Human-robot teamwork using activity recognition and human instruction2012 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2012.6385698(459-465)Online publication date: Oct-2012
https://doi.org/10.1109/IROS.2012.6385698
Wagner A(2012)The impact of stereotyping errors on a robot's social development2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)10.1109/DevLrn.2012.6400834(1-6)Online publication date: Nov-2012
https://doi.org/10.1109/DevLrn.2012.6400834
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