Literature DB >> 32362399

Social Cognition in the Age of Human-Robot Interaction.

Anna Henschel1, Ruud Hortensius1, Emily S Cross2.   

Abstract

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.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  artificial intelligence; fMRI; human–robot interaction; social cognition; social robotics

Mesh:

Year:  2020        PMID: 32362399     DOI: 10.1016/j.tins.2020.03.013

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  10 in total

1.  Resonance as a Design Strategy for AI and Social Robots.

Authors:  James Derek Lomas; Albert Lin; Suzanne Dikker; Deborah Forster; Maria Luce Lupetti; Gijs Huisman; Julika Habekost; Caiseal Beardow; Pankaj Pandey; Nashra Ahmad; Krishna Miyapuram; Tim Mullen; Patrick Cooper; Willem van der Maden; Emily S Cross
Journal:  Front Neurorobot       Date:  2022-04-27       Impact factor: 3.493

2.  Human but not robotic gaze facilitates action prediction.

Authors:  Emmanuele Tidoni; Henning Holle; Michele Scandola; Igor Schindler; Loron Hill; Emily S Cross
Journal:  iScience       Date:  2022-05-25

Review 3.  Entropy and the Brain: An Overview.

Authors:  Soheil Keshmiri
Journal:  Entropy (Basel)       Date:  2020-08-21       Impact factor: 2.524

4.  Comparison of Human Social Brain Activity During Eye-Contact With Another Human and a Humanoid Robot.

Authors:  Megan S Kelley; J Adam Noah; Xian Zhang; Brian Scassellati; Joy Hirsch
Journal:  Front Robot AI       Date:  2021-01-29

5.  "Hit the Robot on the Head With This Mallet" - Making a Case for Including More Open Questions in HRI Research.

Authors:  Katie A Riddoch; Emily S Cross
Journal:  Front Robot AI       Date:  2021-02-25

6.  An Exploratory Analysis of the Neural Correlates of Human-Robot Interactions With Functional Near Infrared Spectroscopy.

Authors:  Emre Yorgancigil; Funda Yildirim; Burcu A Urgen; Sinem Burcu Erdogan
Journal:  Front Hum Neurosci       Date:  2022-07-18       Impact factor: 3.473

7.  No Evidence for an Effect of the Smell of Hexanal on Trust in Human-Robot Interaction.

Authors:  Ilja Croijmans; Laura van Erp; Annelie Bakker; Lara Cramer; Sophie Heezen; Dana Van Mourik; Sterre Weaver; Ruud Hortensius
Journal:  Int J Soc Robot       Date:  2022-09-15       Impact factor: 3.802

8.  Exploring the relationship between anthropomorphism and theory-of-mind in brain and behaviour.

Authors:  Ruud Hortensius; Michaela Kent; Kohinoor M Darda; Laura Jastrzab; Kami Koldewyn; Richard Ramsey; Emily S Cross
Journal:  Hum Brain Mapp       Date:  2021-07-01       Impact factor: 5.038

9.  Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human-Robot Interaction.

Authors:  Maria Lombardi; Elisa Maiettini; Davide De Tommaso; Agnieszka Wykowska; Lorenzo Natale
Journal:  Front Robot AI       Date:  2022-03-07

10.  Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods.

Authors:  Gauri Tulsulkar; Nidhi Mishra; Nadia Magnenat Thalmann; Hwee Er Lim; Mei Ping Lee; Siok Khoong Cheng
Journal:  Vis Comput       Date:  2021-07-30       Impact factor: 2.601

  10 in total

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