Reading motor intention through mental imagery

Motor imagery is defined as a dynamic state during which the representation of a given motor act is internally rehearsed without overt motor output. Some evidence in experimental psychology has suggested that imagery ability is crucial for the correct understanding of social intention. The present s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Adaptive behavior 2013-10, Vol.21 (5), p.315-327
Hauptverfasser: Lewkowicz, Daniel, Delevoye-Turrell, Yvonne, Bailly, David, Andry, Pierre, Gaussier, Philippe
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 327
container_issue 5
container_start_page 315
container_title Adaptive behavior
container_volume 21
creator Lewkowicz, Daniel
Delevoye-Turrell, Yvonne
Bailly, David
Andry, Pierre
Gaussier, Philippe
description Motor imagery is defined as a dynamic state during which the representation of a given motor act is internally rehearsed without overt motor output. Some evidence in experimental psychology has suggested that imagery ability is crucial for the correct understanding of social intention. The present study was conducted first to confirm that the nature of the motor intention leads to early modulations of movement kinematics. Secondly, we tested whether humans use imagery to read an agent’s intention when observing the very first element of a complex action sequence. Results revealed early variations in movement kinematics between three different social actions and further showed that human agents can use these early deviants to anticipate above chance level the end-result before seeing the second half of the sequence. Response times in the observation task were similar in duration to those measured in the true production task, suggesting the use of motor imagery for trial categorization. Nevertheless, in a third study, the use of an artificial (neural network) classifier demonstrated that classification within the first 500 ms is possible without cognitive imagery processing. Hence, our results suggest that low-level motor indices afford intention reading without need for motor imagery but that human agents may use imaging beyond simulation to create an embodied sense of interactivity.
doi_str_mv 10.1177/1059712313501347
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00870420v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1059712313501347</sage_id><sourcerecordid>1494356150</sourcerecordid><originalsourceid>FETCH-LOGICAL-c423t-7a29121f7f5930a3457b9014e5108ac4018cf0b2dc2a23f60368f7ab7c1ea8ac3</originalsourceid><addsrcrecordid>eNqNkEtLAzEUhYMoWB97l7PUxdR785jMLEtRKxQE0XVI06SdMjOpyYzQf2_KiAtBcHUf57sPDiE3CFNEKe8RRCWRMmQCkHF5QiYoOea0YOw05UnOj_o5uYhxBwBF4idk-mr1uu42Wet7H7K6623X177L-m3ww2abtanWTVa3emPD4YqcOd1Ee_0dL8n748PbfJEvX56e57NlbjhlfS41rZCik05UDDTjQq4qQG4FQqkNByyNgxVdG6opcwWwonRSr6RBqxPALsnduHerG7UP6Xo4KK9rtZgt1bEHUErgFD4xsbcjuw_-Y7CxV20djW0a3Vk_RIUSECQU9B8orzgTBQpIKIyoCT7GYN3PGwjq6Lj67XgayceRmLxSOz-ELnn0N_8FJ7p88g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1494356150</pqid></control><display><type>article</type><title>Reading motor intention through mental imagery</title><source>Access via SAGE</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Lewkowicz, Daniel ; Delevoye-Turrell, Yvonne ; Bailly, David ; Andry, Pierre ; Gaussier, Philippe</creator><creatorcontrib>Lewkowicz, Daniel ; Delevoye-Turrell, Yvonne ; Bailly, David ; Andry, Pierre ; Gaussier, Philippe</creatorcontrib><description>Motor imagery is defined as a dynamic state during which the representation of a given motor act is internally rehearsed without overt motor output. Some evidence in experimental psychology has suggested that imagery ability is crucial for the correct understanding of social intention. The present study was conducted first to confirm that the nature of the motor intention leads to early modulations of movement kinematics. Secondly, we tested whether humans use imagery to read an agent’s intention when observing the very first element of a complex action sequence. Results revealed early variations in movement kinematics between three different social actions and further showed that human agents can use these early deviants to anticipate above chance level the end-result before seeing the second half of the sequence. Response times in the observation task were similar in duration to those measured in the true production task, suggesting the use of motor imagery for trial categorization. Nevertheless, in a third study, the use of an artificial (neural network) classifier demonstrated that classification within the first 500 ms is possible without cognitive imagery processing. Hence, our results suggest that low-level motor indices afford intention reading without need for motor imagery but that human agents may use imaging beyond simulation to create an embodied sense of interactivity.</description><identifier>ISSN: 1059-7123</identifier><identifier>EISSN: 1741-2633</identifier><identifier>DOI: 10.1177/1059712313501347</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Classification ; Computer Science ; Human ; Humanities and Social Sciences ; Imagery ; Kinematics ; Modulation ; Motors ; Movement ; Neural and Evolutionary Computing ; Psychology ; Tasks</subject><ispartof>Adaptive behavior, 2013-10, Vol.21 (5), p.315-327</ispartof><rights>The Author(s) 2013</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-7a29121f7f5930a3457b9014e5108ac4018cf0b2dc2a23f60368f7ab7c1ea8ac3</citedby><cites>FETCH-LOGICAL-c423t-7a29121f7f5930a3457b9014e5108ac4018cf0b2dc2a23f60368f7ab7c1ea8ac3</cites><orcidid>0000-0003-4034-3684</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1059712313501347$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1059712313501347$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>230,314,780,784,885,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://hal.science/hal-00870420$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lewkowicz, Daniel</creatorcontrib><creatorcontrib>Delevoye-Turrell, Yvonne</creatorcontrib><creatorcontrib>Bailly, David</creatorcontrib><creatorcontrib>Andry, Pierre</creatorcontrib><creatorcontrib>Gaussier, Philippe</creatorcontrib><title>Reading motor intention through mental imagery</title><title>Adaptive behavior</title><description>Motor imagery is defined as a dynamic state during which the representation of a given motor act is internally rehearsed without overt motor output. Some evidence in experimental psychology has suggested that imagery ability is crucial for the correct understanding of social intention. The present study was conducted first to confirm that the nature of the motor intention leads to early modulations of movement kinematics. Secondly, we tested whether humans use imagery to read an agent’s intention when observing the very first element of a complex action sequence. Results revealed early variations in movement kinematics between three different social actions and further showed that human agents can use these early deviants to anticipate above chance level the end-result before seeing the second half of the sequence. Response times in the observation task were similar in duration to those measured in the true production task, suggesting the use of motor imagery for trial categorization. Nevertheless, in a third study, the use of an artificial (neural network) classifier demonstrated that classification within the first 500 ms is possible without cognitive imagery processing. Hence, our results suggest that low-level motor indices afford intention reading without need for motor imagery but that human agents may use imaging beyond simulation to create an embodied sense of interactivity.</description><subject>Classification</subject><subject>Computer Science</subject><subject>Human</subject><subject>Humanities and Social Sciences</subject><subject>Imagery</subject><subject>Kinematics</subject><subject>Modulation</subject><subject>Motors</subject><subject>Movement</subject><subject>Neural and Evolutionary Computing</subject><subject>Psychology</subject><subject>Tasks</subject><issn>1059-7123</issn><issn>1741-2633</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkEtLAzEUhYMoWB97l7PUxdR785jMLEtRKxQE0XVI06SdMjOpyYzQf2_KiAtBcHUf57sPDiE3CFNEKe8RRCWRMmQCkHF5QiYoOea0YOw05UnOj_o5uYhxBwBF4idk-mr1uu42Wet7H7K6623X177L-m3ww2abtanWTVa3emPD4YqcOd1Ee_0dL8n748PbfJEvX56e57NlbjhlfS41rZCik05UDDTjQq4qQG4FQqkNByyNgxVdG6opcwWwonRSr6RBqxPALsnduHerG7UP6Xo4KK9rtZgt1bEHUErgFD4xsbcjuw_-Y7CxV20djW0a3Vk_RIUSECQU9B8orzgTBQpIKIyoCT7GYN3PGwjq6Lj67XgayceRmLxSOz-ELnn0N_8FJ7p88g</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Lewkowicz, Daniel</creator><creator>Delevoye-Turrell, Yvonne</creator><creator>Bailly, David</creator><creator>Andry, Pierre</creator><creator>Gaussier, Philippe</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><scope>BXJBU</scope><orcidid>https://orcid.org/0000-0003-4034-3684</orcidid></search><sort><creationdate>20131001</creationdate><title>Reading motor intention through mental imagery</title><author>Lewkowicz, Daniel ; Delevoye-Turrell, Yvonne ; Bailly, David ; Andry, Pierre ; Gaussier, Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-7a29121f7f5930a3457b9014e5108ac4018cf0b2dc2a23f60368f7ab7c1ea8ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Classification</topic><topic>Computer Science</topic><topic>Human</topic><topic>Humanities and Social Sciences</topic><topic>Imagery</topic><topic>Kinematics</topic><topic>Modulation</topic><topic>Motors</topic><topic>Movement</topic><topic>Neural and Evolutionary Computing</topic><topic>Psychology</topic><topic>Tasks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lewkowicz, Daniel</creatorcontrib><creatorcontrib>Delevoye-Turrell, Yvonne</creatorcontrib><creatorcontrib>Bailly, David</creatorcontrib><creatorcontrib>Andry, Pierre</creatorcontrib><creatorcontrib>Gaussier, Philippe</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>HAL-SHS: Archive ouverte en Sciences de l'Homme et de la Société</collection><jtitle>Adaptive behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lewkowicz, Daniel</au><au>Delevoye-Turrell, Yvonne</au><au>Bailly, David</au><au>Andry, Pierre</au><au>Gaussier, Philippe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reading motor intention through mental imagery</atitle><jtitle>Adaptive behavior</jtitle><date>2013-10-01</date><risdate>2013</risdate><volume>21</volume><issue>5</issue><spage>315</spage><epage>327</epage><pages>315-327</pages><issn>1059-7123</issn><eissn>1741-2633</eissn><abstract>Motor imagery is defined as a dynamic state during which the representation of a given motor act is internally rehearsed without overt motor output. Some evidence in experimental psychology has suggested that imagery ability is crucial for the correct understanding of social intention. The present study was conducted first to confirm that the nature of the motor intention leads to early modulations of movement kinematics. Secondly, we tested whether humans use imagery to read an agent’s intention when observing the very first element of a complex action sequence. Results revealed early variations in movement kinematics between three different social actions and further showed that human agents can use these early deviants to anticipate above chance level the end-result before seeing the second half of the sequence. Response times in the observation task were similar in duration to those measured in the true production task, suggesting the use of motor imagery for trial categorization. Nevertheless, in a third study, the use of an artificial (neural network) classifier demonstrated that classification within the first 500 ms is possible without cognitive imagery processing. Hence, our results suggest that low-level motor indices afford intention reading without need for motor imagery but that human agents may use imaging beyond simulation to create an embodied sense of interactivity.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/1059712313501347</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-4034-3684</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1059-7123
ispartof Adaptive behavior, 2013-10, Vol.21 (5), p.315-327
issn 1059-7123
1741-2633
language eng
recordid cdi_hal_primary_oai_HAL_hal_00870420v1
source Access via SAGE; EZB-FREE-00999 freely available EZB journals
subjects Classification
Computer Science
Human
Humanities and Social Sciences
Imagery
Kinematics
Modulation
Motors
Movement
Neural and Evolutionary Computing
Psychology
Tasks
title Reading motor intention through mental imagery
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A13%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reading%20motor%20intention%20through%20mental%20imagery&rft.jtitle=Adaptive%20behavior&rft.au=Lewkowicz,%20Daniel&rft.date=2013-10-01&rft.volume=21&rft.issue=5&rft.spage=315&rft.epage=327&rft.pages=315-327&rft.issn=1059-7123&rft.eissn=1741-2633&rft_id=info:doi/10.1177/1059712313501347&rft_dat=%3Cproquest_hal_p%3E1494356150%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1494356150&rft_id=info:pmid/&rft_sage_id=10.1177_1059712313501347&rfr_iscdi=true