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 proceedingConference contributionpeer-review

3 Citations (Scopus)

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 selfserving 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.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I
EditorsNaoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo
PublisherSpringer, Cham
Pages538-548
Number of pages11
Edition1st
ISBN (Electronic)9783319435060
ISBN (Print)9783319435053
DOIs
Publication statusPublished - 3 Aug 2016
Externally publishedYes
Event9th International Conference on Intelligent Robotics and Applications - Tokyo, Japan
Duration: 22 Aug 201624 Aug 2016
https://link.springer.com/book/10.1007/978-3-319-43506-0

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume9834 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Intelligent Robotics and Applications
Abbreviated titleICIRA 2016
Country/TerritoryJapan
CityTokyo
Period22/08/1624/08/16
Internet address

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