A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction

Future robots must co-exist and directly interact with human beings. Designing these agents imply solving hard problems linked to human-robot interaction tasks. For instance, how a robot can choose an interacting partner among various agents and how a robot locates regions of interest in its visual...

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Main Authors: Hasnain Syed Khursheed, Mostafaoui Ghiles, Gaussier Philippe
Format: Article
Language:English
Published: De Gruyter 2012-09-01
Series:Paladyn
Subjects:
Online Access:https://doi.org/10.2478/s13230-013-0111-y
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author Hasnain Syed Khursheed
Mostafaoui Ghiles
Gaussier Philippe
author_facet Hasnain Syed Khursheed
Mostafaoui Ghiles
Gaussier Philippe
author_sort Hasnain Syed Khursheed
collection DOAJ
description Future robots must co-exist and directly interact with human beings. Designing these agents imply solving hard problems linked to human-robot interaction tasks. For instance, how a robot can choose an interacting partner among various agents and how a robot locates regions of interest in its visual field. Studies of neurobiology and psychology collectively named synchrony as an indispensable parameter for social interaction. We assumed that Human-Robot interaction could be initiated by synchrony detection. In this paper, we present a developmental approach for analyzing unintentional synchronization in human-robot interaction. Using our neural network model, the robot learns from a babbling step its inner dynamics by associating its own motor activities (oscillators) with the visual stimulus induced by its own motion. After learning the robot is capable of choosing an interacting agent and of localizing the spatial position of its preferred partner by synchrony detection.
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spelling doaj.art-f60903ae3c7249058b022c765e5b473c2023-12-02T16:42:21ZengDe GruyterPaladyn2081-48362012-09-013315617110.2478/s13230-013-0111-yA Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot InteractionHasnain Syed Khursheed0Mostafaoui Ghiles1Gaussier Philippe2 Neurocybernetic team, ETIS, ENSEA, University of Cergy-Pontoise, 95302 France. Neurocybernetic team, ETIS, ENSEA, University of Cergy-Pontoise, 95302 France. Neurocybernetic team, ETIS, ENSEA, University of Cergy-Pontoise, 95302 France.Future robots must co-exist and directly interact with human beings. Designing these agents imply solving hard problems linked to human-robot interaction tasks. For instance, how a robot can choose an interacting partner among various agents and how a robot locates regions of interest in its visual field. Studies of neurobiology and psychology collectively named synchrony as an indispensable parameter for social interaction. We assumed that Human-Robot interaction could be initiated by synchrony detection. In this paper, we present a developmental approach for analyzing unintentional synchronization in human-robot interaction. Using our neural network model, the robot learns from a babbling step its inner dynamics by associating its own motor activities (oscillators) with the visual stimulus induced by its own motion. After learning the robot is capable of choosing an interacting agent and of localizing the spatial position of its preferred partner by synchrony detection.https://doi.org/10.2478/s13230-013-0111-yhuman robot interactionsynchronyfocus of attentionpartner selectiondynamical systemsneural networks
spellingShingle Hasnain Syed Khursheed
Mostafaoui Ghiles
Gaussier Philippe
A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction
Paladyn
human robot interaction
synchrony
focus of attention
partner selection
dynamical systems
neural networks
title A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction
title_full A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction
title_fullStr A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction
title_full_unstemmed A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction
title_short A Synchrony-Based Perspective for Partner Selection and Attentional Mechanism in Human-Robot Interaction
title_sort synchrony based perspective for partner selection and attentional mechanism in human robot interaction
topic human robot interaction
synchrony
focus of attention
partner selection
dynamical systems
neural networks
url https://doi.org/10.2478/s13230-013-0111-y
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