Sensorimotor Foundations of Social Cognition

178.3K

views

80

authors

22

articles

Editorial

08 July 2022

Editorial: Sensorimotor Foundations of Social Cognition

Andreas K. Engel

,

Paul F. M. J. Verschure

,

Danica Kragic

,

Daniel Polani

, 1 more and

Peter König

1,945 views

0 citations

Editors

6

Andreas K Engel

University Medical Center Hamburg-Eppendorf

Paul F.M.J. Verschure

Radboud University

Royal Institute of Technology

University of Hertfordshire

Alfred Oliver Effenberg

Leibniz University Hannover

Osnabrück University

Impact

Fetching...

About

In classical representation-oriented approaches of social cognition, agents are thought to interact with conspecifics based on their capacity to develop a “theory-of-mind”, i.e., to generate complex models of the intentions, beliefs and personalities of their interaction partners. In this framework, the primary mode of interaction with the social environment is that of a detached observer who theorizes and produces inferences about other participants. In contrast, this Research Topic seeks to turn the spotlight on the grounding of social cognition in dynamic sensorimotor and informational coupling of agents, in human-human as well as human-robot interaction settings. According to this view, interaction dynamics hold substantial clues to the mechanism of social understanding and its disturbances (as for example observed in autism spectrum disorders). The argument is that high-level social deficits may be rooted in the impaired capacity for entraining and sustaining sensorimotor and informational coupling. Beyond novel insights into the mechanisms of functional and dysfunctional social behaviour, the investigation of basic sensorimotor interaction patterns may help the development of socially competent robot technology. Tapping into the same logic, robotic agents sensitive to interpersonal sensorimotor contingencies should have an advantage over technology that does not consider this key aspect of human interaction. With this Research Topic, we provide an interdisciplinary forum for overviewing trends and recent developments in conceptual, methodological and basic research, as well as applications of sensorimotor approaches in social cognitive science, neuroscience, and robotic research. Particularly, a key question is how concepts and methods from social cognitive and neuroscience transfer to human-robot interaction.

In classical representation-oriented approaches of social cognition, agents are thought to interact with conspecifics based on their capacity to develop a “theory-of-mind”, i.e., to generate complex models of the intentions, beliefs and personalities of their interaction partners. In this framework, the primary mode of interaction with the social environment is that of a detached observer who theorizes and produces inferences about other participants. In contrast, this Research Topic seeks to turn the spotlight on the grounding of social cognition in dynamic sensorimotor and informational coupling of agents, in human-human as well as human-robot interaction settings. According to this view, interaction dynamics hold substantial clues to the mechanism of social understanding and its disturbances (as for example observed in autism spectrum disorders). The argument is that high-level social deficits may be rooted in the impaired capacity for entraining and sustaining sensorimotor and informational coupling. Beyond novel insights into the mechanisms of functional and dysfunctional social behaviour, the investigation of basic sensorimotor interaction patterns may help the development of socially competent robot technology. Tapping into the same logic, robotic agents sensitive to interpersonal sensorimotor contingencies should have an advantage over technology that does not consider this key aspect of human interaction. With this Research Topic, we provide an interdisciplinary forum for overviewing trends and recent developments in conceptual, methodological and basic research, as well as applications of sensorimotor approaches in social cognitive science, neuroscience, and robotic research. Particularly, a key question is how concepts and methods from social cognitive and neuroscience transfer to human-robot interaction.

Download ebook

Share

Editors

Andreas K Engel

University Medical Center Hamburg-Eppendorf

Paul F.M.J. Verschure

Radboud University

Royal Institute of Technology

University of Hertfordshire

Alfred Oliver Effenberg

Leibniz University Hannover

Osnabrück University

Impact

178,280 Total views

141,887 Article views

32,356 Article downloads

4,037 Topic views

Published In

Journal Thumbnail

Frontiers in Human Neuroscience

Brain Imaging and Stimulation, Brain-Computer Interfaces, Cognitive Neuroscience, Brain Health and Clinical Neuroscience, Motor Neuroscience, Sensory Neuroscience, Speech and Language

Journal Thumbnail

Frontiers in Psychology

Cognitive Science

Journal Thumbnail

Frontiers in Robotics and AI

Human-Robot Interaction

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic