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

Mriganka Biswas, John Murray

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1–29
Journal International Journal of Artificial Life Research
Volume6
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

  • Humanoid Robot
  • Cognitive Bias
  • Human-Robot Long-Term Companionship
  • Imperfect Robots
  • Human-Robot Interaction

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