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Creating and using matrix representations of social interaction

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.

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    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
    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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    Published: 09 March 2009

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    Author Tags

    1. interaction
    2. interdependence theory
    3. mental model

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    HRI09
    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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    • (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
    • (2018)Modeling the Human-Robot Trust PhenomenonACM Transactions on Interactive Intelligent Systems10.1145/31528908:4(1-24)Online publication date: 16-Nov-2018
    • (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
    • (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
    • (2015)Robots that stereotypeJournal of Human-Robot Interaction10.5555/3109842.31098474:2(97-124)Online publication date: 1-Sep-2015
    • (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
    • (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
    • (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
    • (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
    • (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
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