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Unintentional entrainment effect in a context of Human Robot Interaction: An experimental study
Modelling nonverbal communication in robotics is a crucial issue to improve Human Robot interactions (HRI). Among several nonverbal behaviours we focus in this article on unintentional rhythmic entrainment and synchronization which has been proven to be highly important in intuitive and natural Huma...
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creator | Ansermin, Eva Mostafaoui, Ghiles Sargentini, Xavier Gaussier, Philippe |
description | Modelling nonverbal communication in robotics is a crucial issue to improve Human Robot interactions (HRI). Among several nonverbal behaviours we focus in this article on unintentional rhythmic entrainment and synchronization which has been proven to be highly important in intuitive and natural Human Human communication. Hence, the rising question is whether or no this phenomenon can be reproduced in a context of HRI and what are the prerequisites to ensure its emergence. In this paper, we study rhythmical interactions during imitation games between a NAO robot and naive subjects. We analysed two main types of interactions, a first where NAO performs movements at a fixed rhythm (unidirectional) and a second one where the robot is able to adopt the human motion dynamic (bidirectional) using a neural modelling of the entrainment effect based on dynamical systems. We show that using such model allows us to reach synchronization during the interactions and that both partners (robot and human) adapt their frequency as observed in natural HHI. This puts forward the importance of bidirectionality for HRI. Moreover, the participants shifted their motion dynamics during the interaction without noticing it, proving the presence of such unintentional rhythmic entrainment in HRI. |
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This puts forward the importance of bidirectionality for HRI. Moreover, the participants shifted their motion dynamics during the interaction without noticing it, proving the presence of such unintentional rhythmic entrainment in HRI.</description><subject>Adaptation models</subject><subject>bidirectional interactions</subject><subject>bio-inspired robotic</subject><subject>Biological system modeling</subject><subject>Entrainment effect</subject><subject>Human Robot Interaction</subject><subject>Mathematical model</subject><subject>neural network</subject><subject>Oscillators</subject><subject>Robots</subject><subject>Synchronisation</subject><subject>Synchronization</subject><issn>1944-9437</issn><isbn>9781538635186</isbn><isbn>1538635186</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2017</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkN1qwkAQhbeFQsXmBdqbfYGkmf3JzvZOpK2CrSD1OqzZCaToRpIV9O27UufmGw7nHIZh7BnKAqC0r5v11-y7ECWYAsEIpcQdy6xB0BIrqQGrezYBq1RulTSPLBvH3zKNVQBGT1i9DV2IFGLXB7fnaRlcFw6JnNqWmsi7wB1v-mQ6R963fHE6uMA3_a6PfJnUwTXX8BufBU7nIw3dNZ26xnjylyf20Lr9SNmNU7b9eP-ZL_LV-nM5n63yRpYi5lgZckIoRPJCeI3elMqCbysURlrtNWjaeUnKOSSShLr1CE6j8tBIJ6fs5b-3I6L6mI5ww6W-vUT-AXOtVlE</recordid><startdate>20171208</startdate><enddate>20171208</enddate><creator>Ansermin, Eva</creator><creator>Mostafaoui, Ghiles</creator><creator>Sargentini, Xavier</creator><creator>Gaussier, Philippe</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20171208</creationdate><title>Unintentional entrainment effect in a context of Human Robot Interaction: An experimental study</title><author>Ansermin, Eva ; Mostafaoui, Ghiles ; Sargentini, Xavier ; Gaussier, Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c302t-867ea22488ed22d58d70491df6827395d515ebd3e4aa8ee3e85fd81a584d1c3a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptation models</topic><topic>bidirectional interactions</topic><topic>bio-inspired robotic</topic><topic>Biological system modeling</topic><topic>Entrainment effect</topic><topic>Human Robot Interaction</topic><topic>Mathematical model</topic><topic>neural network</topic><topic>Oscillators</topic><topic>Robots</topic><topic>Synchronisation</topic><topic>Synchronization</topic><toplevel>online_resources</toplevel><creatorcontrib>Ansermin, Eva</creatorcontrib><creatorcontrib>Mostafaoui, Ghiles</creatorcontrib><creatorcontrib>Sargentini, Xavier</creatorcontrib><creatorcontrib>Gaussier, Philippe</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ansermin, Eva</au><au>Mostafaoui, Ghiles</au><au>Sargentini, Xavier</au><au>Gaussier, Philippe</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Unintentional entrainment effect in a context of Human Robot Interaction: An experimental study</atitle><btitle>2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)</btitle><stitle>ROMAN</stitle><date>2017-12-08</date><risdate>2017</risdate><spage>1108</spage><epage>1114</epage><pages>1108-1114</pages><eissn>1944-9437</eissn><eisbn>9781538635186</eisbn><eisbn>1538635186</eisbn><abstract>Modelling nonverbal communication in robotics is a crucial issue to improve Human Robot interactions (HRI). Among several nonverbal behaviours we focus in this article on unintentional rhythmic entrainment and synchronization which has been proven to be highly important in intuitive and natural Human Human communication. Hence, the rising question is whether or no this phenomenon can be reproduced in a context of HRI and what are the prerequisites to ensure its emergence. In this paper, we study rhythmical interactions during imitation games between a NAO robot and naive subjects. We analysed two main types of interactions, a first where NAO performs movements at a fixed rhythm (unidirectional) and a second one where the robot is able to adopt the human motion dynamic (bidirectional) using a neural modelling of the entrainment effect based on dynamical systems. We show that using such model allows us to reach synchronization during the interactions and that both partners (robot and human) adapt their frequency as observed in natural HHI. 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subjects | Adaptation models bidirectional interactions bio-inspired robotic Biological system modeling Entrainment effect Human Robot Interaction Mathematical model neural network Oscillators Robots Synchronisation Synchronization |
title | Unintentional entrainment effect in a context of Human Robot Interaction: An experimental study |
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