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Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot

Biswas, Mriganka; Murray, John

Authors

Mriganka Biswas

John Murray



Abstract

The research presented in the paper aims to develop long-term companionship between cognitively imperfect robots and humans. In order to develop cognitively imperfect robot, the research suggests to implement various cognitive biases in a robot's interactive behaviours. In the authors' understanding, such cognitively biased behaviours in robot will help the participants to relate with it easily. In the current paper, they show comparative results of the experiments using five biased and one non-biased algorithms in a 3D printed humanoid robot MARC. The results from the experiments show that the participants initially liked the robot with biased and imperfect behaviours than the same robots without any mistakes and biases.

Citation

Biswas, M., & Murray, J. (2016). Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot. International journal of artificial life research, 6(1), 1-29. https://doi.org/10.4018/ijalr.2016010101

Acceptance Date Jan 1, 2016
Publication Date 2016
Deposit Date May 3, 2018
Publicly Available Date May 3, 2018
Journal International Journal of Artificial Life Research
Print ISSN 1947-3087
Electronic ISSN 1947-3079
Peer Reviewed Peer Reviewed
Volume 6
Issue 1
Pages 1-29
DOI https://doi.org/10.4018/ijalr.2016010101
Public URL https://hull-repository.worktribe.com/output/799529
Publisher URL http://eprints.lincoln.ac.uk/30757/
Copyright Statement ©2018 University of Hull

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