Literature DB >> 19665550

Social cognitive neuroscience and humanoid robotics.

Thierry Chaminade1, Gordon Cheng.   

Abstract

We believe that humanoid robots provide new tools to investigate human social cognition, the processes underlying everyday interactions between individuals. Resonance is an emerging framework to understand social interactions that is based on the finding that cognitive processes involved when experiencing a mental state and when perceiving another individual experiencing the same mental state overlap, both at the behavioral and neural levels. We will first review important aspects of his framework. In a second part, we will discuss how this framework is used to address questions pertaining to artificial agents' social competence. We will focus on two types of paradigm, one derived from experimental psychology and the other using neuroimaging, that have been used to investigate humans' responses to humanoid robots. Finally, we will speculate on the consequences of resonance in natural social interactions if humanoid robots are to become integral part of our societies.

Entities:  

Mesh:

Year:  2009        PMID: 19665550     DOI: 10.1016/j.jphysparis.2009.08.011

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  23 in total

Review 1.  How does visuomotor priming differ for biological and non-biological stimuli? A review of the evidence.

Authors:  E Gowen; E Poliakoff
Journal:  Psychol Res       Date:  2012-07

2.  The role of appearance and motion in action prediction.

Authors:  Ayse Pinar Saygin; Waltraud Stadler
Journal:  Psychol Res       Date:  2012-02-28

3.  Fronto-parietal coding of goal-directed actions performed by artificial agents.

Authors:  Aleksandra Kupferberg; Marco Iacoboni; Virginia Flanagin; Markus Huber; Anna Kasparbauer; Thomas Baumgartner; Gregor Hasler; Florian Schmidt; Christoph Borst; Stefan Glasauer
Journal:  Hum Brain Mapp       Date:  2017-12-05       Impact factor: 5.038

4.  From social brains to social robots: applying neurocognitive insights to human-robot interaction.

Authors:  Emily S Cross; Ruud Hortensius; Agnieszka Wykowska
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-04-29       Impact factor: 6.237

Review 5.  Neurorobotic Models of Neurological Disorders: A Mini Review.

Authors:  Savva Pronin; Liam Wellacott; Jhielson Pimentel; Renan C Moioli; Patricia A Vargas
Journal:  Front Neurorobot       Date:  2021-03-19       Impact factor: 2.650

6.  Moving just like you: motor interference depends on similar motility of agent and observer.

Authors:  Aleksandra Kupferberg; Markus Huber; Bartosz Helfer; Claus Lenz; Alois Knoll; Stefan Glasauer
Journal:  PLoS One       Date:  2012-06-27       Impact factor: 3.240

7.  Observation and imitation of actions performed by humans, androids, and robots: an EMG study.

Authors:  Galit Hofree; Burcu A Urgen; Piotr Winkielman; Ayse P Saygin
Journal:  Front Hum Neurosci       Date:  2015-06-19       Impact factor: 3.169

Review 8.  Is it the real deal? Perception of virtual characters versus humans: an affective cognitive neuroscience perspective.

Authors:  Aline W de Borst; Beatrice de Gelder
Journal:  Front Psychol       Date:  2015-05-12

9.  I Reach Faster When I See You Look: Gaze Effects in Human-Human and Human-Robot Face-to-Face Cooperation.

Authors:  Jean-David Boucher; Ugo Pattacini; Amelie Lelong; Gerrard Bailly; Frederic Elisei; Sascha Fagel; Peter Ford Dominey; Jocelyne Ventre-Dominey
Journal:  Front Neurorobot       Date:  2012-05-03       Impact factor: 2.650

10.  How do we think machines think? An fMRI study of alleged competition with an artificial intelligence.

Authors:  Thierry Chaminade; Delphine Rosset; David Da Fonseca; Bruno Nazarian; Ewald Lutcher; Gordon Cheng; Christine Deruelle
Journal:  Front Hum Neurosci       Date:  2012-05-08       Impact factor: 3.169

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