Robots that Refuse to Admit Losing -- A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC

Mriganka Biswas; John Murray

doi:10.1007/978-3-319-43506-0_47

Robots that Refuse to Admit Losing -- A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC

Mriganka Biswas, John Murray

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The research presented in this paper is part of a wider study investigating the role cognitive bias plays in developing long-term companionship between a robot and human. In this paper we discuss how the self-serving cognitive bias can play a role in robot-human interaction. One of the robots used in this study called MARC (See Fig. 1) was given a series of self-serving trait behaviours such as denying own faults for failures, blaming on others and bragging. Such fallible behaviours were compared to the robot's non-biased friendly behaviours. In the current paper, we present comparisons of two case studies using the self-serving bias and a non-biased algorithm. It is hoped that such humanlike fallible characteristics can help in developing a more natural and believable companionship between Robots and Humans. The results of the current experiments show that the participants initially warmed to the robot with the self-serving traits.Fig. 1.MARC the humanoid robot, and participant interacting with MARC

Original language	English
Title of host publication	Intelligent Robotics and Applications
Editors	Naoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo
Place of Publication	Cham
Publisher	Springer
Pages	538-548
Number of pages	11
ISBN (Electronic)	978-3-319-43506-0
ISBN (Print)	978-3-319-43505-3
DOIs	https://doi.org/10.1007/978-3-319-43506-0_47
Publication status	Published - 3 Aug 2016
Event	9th International Conference on Intelligent Robotics and Applications - Tokyo, Japan Duration: 22 Aug 2016 → 24 Aug 2016 http://www.comp.sd.tmu.ac.jp/icira2016/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer, Cham
Volume	9834
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Intelligent Robotics and Applications
Abbreviated title	ICIRA 2016
Country/Territory	Japan
City	Tokyo
Period	22/08/16 → 24/08/16
Internet address	http://www.comp.sd.tmu.ac.jp/icira2016/

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Cite this

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title = "Robots that Refuse to Admit Losing -- A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC",

abstract = "The research presented in this paper is part of a wider study investigating the role cognitive bias plays in developing long-term companionship between a robot and human. In this paper we discuss how the self-serving cognitive bias can play a role in robot-human interaction. One of the robots used in this study called MARC (See Fig. 1) was given a series of self-serving trait behaviours such as denying own faults for failures, blaming on others and bragging. Such fallible behaviours were compared to the robot's non-biased friendly behaviours. In the current paper, we present comparisons of two case studies using the self-serving bias and a non-biased algorithm. It is hoped that such humanlike fallible characteristics can help in developing a more natural and believable companionship between Robots and Humans. The results of the current experiments show that the participants initially warmed to the robot with the self-serving traits.Fig. 1.MARC the humanoid robot, and participant interacting with MARC",

author = "Mriganka Biswas and John Murray",

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doi = "10.1007/978-3-319-43506-0_47",

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editor = "Naoyuki Kubota and Kazuo Kiguchi and Honghai Liu and Takenori Obo",

booktitle = "Intelligent Robotics and Applications",

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Biswas, M & Murray, J 2016, Robots that Refuse to Admit Losing -- A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC. in N Kubota, K Kiguchi, H Liu & T Obo (eds), Intelligent Robotics and Applications. Lecture Notes in Computer Science, vol. 9834, Springer, Cham, pp. 538-548, 9th International Conference on Intelligent Robotics and Applications, Tokyo, Japan, 22/08/16. https://doi.org/10.1007/978-3-319-43506-0_47

Robots that Refuse to Admit Losing -- A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC. / Biswas, Mriganka; Murray, John.
Intelligent Robotics and Applications. ed. / Naoyuki Kubota; Kazuo Kiguchi; Honghai Liu; Takenori Obo. Cham: Springer, 2016. p. 538-548 (Lecture Notes in Computer Science; Vol. 9834).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The research presented in this paper is part of a wider study investigating the role cognitive bias plays in developing long-term companionship between a robot and human. In this paper we discuss how the self-serving cognitive bias can play a role in robot-human interaction. One of the robots used in this study called MARC (See Fig. 1) was given a series of self-serving trait behaviours such as denying own faults for failures, blaming on others and bragging. Such fallible behaviours were compared to the robot's non-biased friendly behaviours. In the current paper, we present comparisons of two case studies using the self-serving bias and a non-biased algorithm. It is hoped that such humanlike fallible characteristics can help in developing a more natural and believable companionship between Robots and Humans. The results of the current experiments show that the participants initially warmed to the robot with the self-serving traits.Fig. 1.MARC the humanoid robot, and participant interacting with MARC

AB - The research presented in this paper is part of a wider study investigating the role cognitive bias plays in developing long-term companionship between a robot and human. In this paper we discuss how the self-serving cognitive bias can play a role in robot-human interaction. One of the robots used in this study called MARC (See Fig. 1) was given a series of self-serving trait behaviours such as denying own faults for failures, blaming on others and bragging. Such fallible behaviours were compared to the robot's non-biased friendly behaviours. In the current paper, we present comparisons of two case studies using the self-serving bias and a non-biased algorithm. It is hoped that such humanlike fallible characteristics can help in developing a more natural and believable companionship between Robots and Humans. The results of the current experiments show that the participants initially warmed to the robot with the self-serving traits.Fig. 1.MARC the humanoid robot, and participant interacting with MARC

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ER -

Robots that Refuse to Admit Losing -- A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC

Abstract

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