Do We Really Like Robots that Match our Personality? The Case of Big-Five Traits, Godspeed Scores and Robotic Gestures

Craenen, B., Deshmukh, A. , Foster, M. E. and Vinciarelli, A. (2018) Do We Really Like Robots that Match our Personality? The Case of Big-Five Traits, Godspeed Scores and Robotic Gestures. In: 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2018), Nanjing, China, 27-31 Aug 2018, ISBN 9781538679807 (doi: 10.1109/ROMAN.2018.8525672)

Abstract

This work investigates the role of the attraction paradigm - the tendency to associate similarity and attraction in interpersonal relations - in Human-Robot Interaction. The experiment presented here involved 30 human observers who watched and rated 45 robotic gestures in terms of Big-Five personality traits and Godspeed scores. The results show that, for 24 of the 30 observers, there was a statistically significant correlation between the Godspeed scores and the perceived similarity between the robot's personality and their own. However, the association was positive for 15 subjects - meaning that for these there is a similarity-attraction effect - and negative for the other 9 - meaning that for these there is a complementarity-attraction effect. Furthermore, the strength of the effect depends on the particular trait under examination.

• Item Type: Conference Proceedings
• Additional Information: This research has been partially funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 688147 (MuMMER, http:// mummer-project.eu/).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Deshmukh, Dr Amol and Foster, Dr Mary Ellen and Craenen, Dr Bart and Vinciarelli, Professor Alessandro
• Authors: Craenen, B., Deshmukh, A., Foster, M. E., and Vinciarelli, A.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 1944-9437
• ISBN: 9781538679807
• Copyright Holders: Copyright © 2018 IEEE
• First Published: First published in 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
70165	1	MUMMER	Mary Ellen Foster	European Commission (EC)	688147	SCHOOL OF COMPUTING SCIENCE