The effects of cognitive biases in long-term human-robot interactions: case studies using three cognitive biases on MARC the humanoid robot

Biswas, Mriganka and Murray, John (2016) The effects of cognitive biases in long-term human-robot interactions: case studies using three cognitive biases on MARC the humanoid robot. In: ICSR: International Conference on Social Robotics, 1 - 3 November 2016, Kansas City.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

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 cognitive biases such as misattribution, Empathy gap and Dunning-Kruger effects can play a role in robot-human interaction with the aim of improving long-term companionship. One of the robots used in this study called MARC (See Fig. 1) was given a series of biased behaviours such as forgetting participant’s names, denying its own faults for failures, unable to understand what a participant is saying, etc. Such fallible behaviours were compared to a non-biased baseline behaviour. In the current paper, we present a comparison of two case studies using these biases 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 biased behaviours.

Keywords:Human-robot interaction, Cognitive bias in robot, Imperfect robot, Human-robot long-term interactions
Divisions:College of Science > School of Computer Science
ID Code:27910
Deposited On:08 Aug 2017 14:17

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