The More I Understand it, the Less I Like it: The Relationship Between Understandability and Godspeed Scores for Robotic Gestures

Deshmukh, A. , Craenen, B., Foster, M. E. and Vinciarelli, A. (2018) The More I Understand it, the Less I Like it: The Relationship Between Understandability and Godspeed Scores for 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.2018.8525585)

Abstract

This work investigates the relationship between the perception that people develop about a robot and the understandability of the gestures the latter displays. The experiments have involved 30 human observers that have rated 45 robotic gestures in terms of the Godspeed dimensions. At the same time, the observers have assigned a score to 10 possible interpretations (the same interpretations for all gestures). The results show that there is a statistically significant correlation between the understandability of the gestures - measured through an information theoretic approach - and all Godspeed scores. However, the correlation is positive in some cases (Anthropomorphism, Animacy and Perceived Intelligence), but negative in others (Perceived Safety and Likeability). In other words, higher understandability is not necessarily associated with more positive perceptions.

• 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: Deshmukh, A., Craenen, B., 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