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Front. Robot. AI | doi: 10.3389/frobt.2018.00135

Extroversion and the Tendency to Anthropomorphize Robots: A Bayesian Analysis

  • 1University of Central Florida, United States
  • 2Mitre (United States), United States

An individual’s personality affects how they view their peers as well as machine entities such as robots. This study examined the relationship between the personality trait of extroversion and the tendency to rate a robot as anthropomorphic in an experimental setting. To evaluate this relationship, 486 participants completed relevant personality inventories and then viewed videos and images of robots performing common jobs (i.e., warehouse technician, IED detection). The participants then rated these robots on an assessment instrument scaling anthropomorphism. We observed a significant positive relationship between participants’ self-rated extroversion and their tendency toward anthropomorphization of the robots. A Bayesian regression analysis was performed to show the strength of their degree of extroversion as a predictor of the tendency to anthropomorphize. We conclude that personality dimensions affect how an individual views the robot that they interact with. This mediation promises to affect acceptance of, and use of, robots by differing individuals.

Keywords: Extroversion, Anthropomorphism, human-robot interaction, individual differences, anthropomorphization

Received: 25 Sep 2018; Accepted: 07 Dec 2018.

Edited by:

Séverin Lemaignan, Bristol Robotics Laboratory, United Kingdom

Reviewed by:

Thierry Chaminade, Center for the National Scientific Research (CNRS), France
Sean Andrist, Microsoft Research (United States), United States  

Copyright: © 2018 Kaplan, Sanders and Hancock. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ms. Alexandra D. Kaplan, University of Central Florida, Orlando, United States,