Social cognition in the age of human–robot interaction

Henschel, A., Hortensius, R. and Cross, E. S. (2020) Social cognition in the age of human–robot interaction. Trends in Neurosciences, 43(6), pp. 373-384. (doi: 10.1016/j.tins.2020.03.013) (PMID:32362399)

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Artificial intelligence advances have led to robots endowed with increasingly sophisticated social abilities. These machines speak to our innate desire to perceive social cues in the environment, as well as the promise of robots enhancing our daily lives. However, a strong mismatch still exists between our expectations and the reality of social robots. We argue that careful delineation of the neurocognitive mechanisms supporting human–robot interaction will enable us to gather insights critical for optimising social encounters between humans and robots. To achieve this, the field must incorporate human neuroscience tools including mobile neuroimaging to explore long-term, embodied human–robot interaction in situ. New analytical neuroimaging approaches will enable characterisation of social cognition representations on a finer scale using sensitive and appropriate categorical comparisons (human, animal, tool, or object). The future of social robotics is undeniably exciting, and insights from human neuroscience research will bring us closer to interacting and collaborating with socially sophisticated robots.

Item Type:Articles
Additional Information:This paper originates from projects in the Social Brain in Action Lab that have received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement number 677270 to E.S.C.), the Leverhulme Trust (PLP-2018-152 to E.S.C), and the Bial Foundation (to R.H.).
Glasgow Author(s) Enlighten ID:Hortensius, Dr Ruud and Cross, Professor Emily and Henschel, Anna
Authors: Henschel, A., Hortensius, R., and Cross, E. S.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
College of Science and Engineering
Journal Name:Trends in Neurosciences
Publisher:Elsevier (Cell Press)
ISSN (Online):1878-108X
Published Online:30 April 2020
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Trends in Neurosciences 43(6): 373-384
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304215Philip Leverhulme Prize - ECEmily CrossLeverhulme Trust (LEVERHUL)PLP-2018-152NP - Centre for Neuroscience