Exploring Theory of Mind for Human-Robot Collaboration

Marta Romeo, Peter Edward McKenna, David Robb, Gnanathusharan Rajendran, Birthe Nesset, Anglelo Cangelosi, Helen Hastie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
153 Downloads (Pure)

Abstract

The ability to impute mental states to oneself or others, or Theory of Mind (ToM), has been intrinsically linked to trust between humans. However, less is known about how a robot mimicking ToM affects users’ trust and behaviour. We explore this through an online study, where we compare three robot personas in a cooperative maze navigation task: one neutral, one that explains its reasoning in technical terms, and one that mimics ToM. We show that ToM influences human decision-making behaviour and trust in a way that makes it more appropriate with respect to the competencies of the robot. This is key for human-robot collaboration and adoption of robotics moving forward.
Original languageEnglish
Title of host publication31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
PublisherIEEE
Pages461-468
Number of pages8
ISBN (Electronic)9781728188591
DOIs
Publication statusPublished - 30 Sept 2022
Event31st IEEE International Conference on Robot and Human Interactive Communication 2022 - Napoli, Italy
Duration: 29 Aug 20222 Sept 2022
http://www.smile.unina.it/ro-man2022/

Conference

Conference31st IEEE International Conference on Robot and Human Interactive Communication 2022
Abbreviated titleRO-MAN 2022
Country/TerritoryItaly
CityNapoli
Period29/08/222/09/22
Internet address

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