A Study on Human Interactions With Robots Based on Their Appearance and Behaviour

Janeczko, Z. and Foster, M. E. (2022) A Study on Human Interactions With Robots Based on Their Appearance and Behaviour. In: CUI '22: Proceedings of the 4th Conference on Conversational User Interfaces, Glasgow, UK, 26-28 Jul 2022, ISBN 9781450397391 (doi: 10.1145/3543829.3544523)

Abstract

When designing a natural-language interaction for a social robot, it is not enough to design the conversation itself: the success of a human-robot interaction can also be significantly affected by seemingly small factors such as a robot’s physical appearance and non-verbal behaviour. In this paper, we deploy an identical chatbot system onto two different robots, Furhat and Pepper, and compare users’ subjective responses to conversations with both robots to get a clear measure of the impact of robot appearance on a social robot when the interaction context is held constant. The results of the study were varied: Furhat was considered to display emotions better and to be more intelligent and trustworthy than Pepper, while both robots were seen as equally friendly. No significant differences were found in the likeability and comfort categories.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Janeczko, Ms Zuzanna and Foster, Dr Mary Ellen
• Authors: Janeczko, Z., and Foster, M. E.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781450397391
• Copyright Holders: Copyright: © 2023 Copyright held by the owner/author(s)
• First Published: First published in CUI '22: Proceedings of the 4th Conference on Conversational User Interfaces 33: 1-6
• Publisher Policy: Reproduced in accordance with the publisher copyright policy