Exploring Theory of Mind for Human-Robot Collaboration

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

doi:10.1109/RO-MAN53752.2022.9900550

Exploring Theory of Mind for Human-Robot Collaboration

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

University of Manchester

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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 language	English
Title of host publication	31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Publisher	IEEE
Pages	461-468
Number of pages	8
ISBN (Electronic)	9781728188591
DOIs	https://doi.org/10.1109/RO-MAN53752.2022.9900550
Publication status	Published - 30 Sept 2022
Event	31st IEEE International Conference on Robot and Human Interactive Communication 2022 - Napoli, Italy Duration: 29 Aug 2022 → 2 Sept 2022 http://www.smile.unina.it/ro-man2022/

Conference

Conference	31st IEEE International Conference on Robot and Human Interactive Communication 2022
Abbreviated title	RO-MAN 2022
Country/Territory	Italy
City	Napoli
Period	29/08/22 → 2/09/22
Internet address	http://www.smile.unina.it/ro-man2022/

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10.1109/RO-MAN53752.2022.9900550

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title = "Exploring Theory of Mind for Human-Robot Collaboration",

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{\textquoteright} 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.",

author = "Marta Romeo and McKenna, {Peter Edward} and David Robb and Gnanathusharan Rajendran and Birthe Nesset and Anglelo Cangelosi and Helen Hastie",

note = "Funding Information: This work was funded and supported by the UKRI Node on Trust (EP/V026682/1). https://trust.tas.ac.uk 1Department of Computer Science, University of Manchester, UK marta.romeo@manchester.ac.uk, angelo.cangelosi@manchester.ac.uk 2School of Mathematical and Computer Sciences, Heriot-Watt University, UK P.McKenna@hw.ac.uk, d.a.robb@hw.ac.uk, T.Rajendran@hw.ac.uk, bn25@hw.ac.uk, h.hastie@hw.ac.uk Publisher Copyright: {\textcopyright} 2022 IEEE.; 31st IEEE International Conference on Robot and Human Interactive Communication 2022, RO-MAN 2022 ; Conference date: 29-08-2022 Through 02-09-2022",

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day = "30",

doi = "10.1109/RO-MAN53752.2022.9900550",

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Romeo, M, McKenna, PE , Robb, D , Rajendran, G, Nesset, B, Cangelosi, A & Hastie, H 2022, Exploring Theory of Mind for Human-Robot Collaboration. in 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, pp. 461-468, 31st IEEE International Conference on Robot and Human Interactive Communication 2022, Napoli, Italy, 29/08/22. https://doi.org/10.1109/RO-MAN53752.2022.9900550

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AU - Rajendran, Gnanathusharan

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AU - Cangelosi, Anglelo

AU - Hastie, Helen

N1 - Funding Information: This work was funded and supported by the UKRI Node on Trust (EP/V026682/1). https://trust.tas.ac.uk 1Department of Computer Science, University of Manchester, UK marta.romeo@manchester.ac.uk, angelo.cangelosi@manchester.ac.uk 2School of Mathematical and Computer Sciences, Heriot-Watt University, UK P.McKenna@hw.ac.uk, d.a.robb@hw.ac.uk, T.Rajendran@hw.ac.uk, bn25@hw.ac.uk, h.hastie@hw.ac.uk Publisher Copyright: © 2022 IEEE.

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ER -

Exploring Theory of Mind for Human-Robot Collaboration

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