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

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

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)
Place of Publication	United States
Publisher	Institute of Electrical and Electronics Engineers
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, RO-MAN 2022 - Napoli, Italy Duration: 29 Aug 2022 → 2 Sept 2022

Publication series

Name	IEEE International Symposium on Robot and Human Interactive Communication proceedings
Publisher	IEEE
ISSN (Print)	1944-9445
ISSN (Electronic)	1944-9437

Conference

Conference	31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022
Country/Territory	Italy
City	Napoli
Period	29/08/22 → 2/09/22

Access to Document

10.1109/RO-MAN53752.2022.9900550Licence: All Rights Reserved

https://ieeexplore.ieee.org/document/9900550Licence: All Rights Reserved

Best Paper Award Finalist
Romeo, M. (Recipient), McKenna, P. E. (Recipient), Robb, D. (Recipient), Rajendran, G. (Recipient), Nesset, B. (Recipient), Cangelosi, A. (Recipient) & Hastie, H. (Recipient), 2022
Prize: Prize (including medals and awards)

Cite this

Romeo, M., McKenna, P. E., 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) (pp. 461-468). (IEEE International Symposium on Robot and Human Interactive Communication proceedings). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/RO-MAN53752.2022.9900550

Romeo, Marta ; McKenna, Peter Edward ; Robb, David et al. / Exploring Theory of Mind for Human-Robot Collaboration. 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). United States : Institute of Electrical and Electronics Engineers, 2022. pp. 461-468 (IEEE International Symposium on Robot and Human Interactive Communication proceedings).

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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 = "This work was funded and supported by the UKRI Node on Trust (EP/V026682/1). https://trust.tas.ac.uk ; 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022 ; Conference date: 29-08-2022 Through 02-09-2022",

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language = "English",

series = "IEEE International Symposium on Robot and Human Interactive Communication proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

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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 International Symposium on Robot and Human Interactive Communication proceedings, Institute of Electrical and Electronics Engineers, United States, pp. 461-468, 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022, Napoli, Italy, 29/08/22. https://doi.org/10.1109/RO-MAN53752.2022.9900550

Exploring Theory of Mind for Human-Robot Collaboration. / Romeo, Marta; McKenna, Peter Edward; Robb, David et al.
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). United States: Institute of Electrical and Electronics Engineers, 2022. p. 461-468 (IEEE International Symposium on Robot and Human Interactive Communication proceedings).

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

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T1 - Exploring Theory of Mind for Human-Robot Collaboration

AU - Romeo, Marta

AU - McKenna, Peter Edward

AU - Robb, David

AU - Rajendran, Gnanathusharan

AU - Nesset, Birthe

AU - Cangelosi, Anglelo

AU - Hastie, Helen

N1 - This work was funded and supported by the UKRI Node on Trust (EP/V026682/1). https://trust.tas.ac.uk

PY - 2022/9/30

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N2 - 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.

AB - 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.

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DO - 10.1109/RO-MAN53752.2022.9900550

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ER -

Romeo M, McKenna PE, Robb D, Rajendran G, Nesset B, Cangelosi A et al. Exploring Theory of Mind for Human-Robot Collaboration. In 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). United States: Institute of Electrical and Electronics Engineers. 2022. p. 461-468. (IEEE International Symposium on Robot and Human Interactive Communication proceedings). doi: 10.1109/RO-MAN53752.2022.9900550

Exploring Theory of Mind for Human-Robot Collaboration

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Best Paper Award Finalist

Cite this