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Kinematic priming of action predictions
The ability to anticipate what others will do next is crucial for navigating social, interactive environments. Here, we develop an experimental and analytical framework to measure the implicit readout of prospective intention information from movement kinematics. Using a primed action categorization...
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Published in: | Current biology 2023-07, Vol.33 (13), p.2717-2727.e6 |
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creator | Scaliti, Eugenio Pullar, Kiri Borghini, Giulia Cavallo, Andrea Panzeri, Stefano Becchio, Cristina |
description | The ability to anticipate what others will do next is crucial for navigating social, interactive environments. Here, we develop an experimental and analytical framework to measure the implicit readout of prospective intention information from movement kinematics. Using a primed action categorization task, we first demonstrate implicit access to intention information by establishing a novel form of priming, which we term kinematic priming: subtle differences in movement kinematics prime action prediction. Next, using data collected from the same participants in a forced-choice intention discrimination task 1 h later, we quantify single-trial intention readout—the amount of intention information read by individual perceivers in individual kinematic primes—and assess whether it can be used to predict the amount of kinematic priming. We demonstrate that the amount of kinematic priming, as indexed by both response times (RTs) and initial fixations to a given probe, is directly proportional to the amount of intention information read by the individual perceiver at the single-trial level. These results demonstrate that human perceivers have rapid, implicit access to intention information encoded in movement kinematics and highlight the potential of our approach to reveal the computations that permit the readout of this information with single-subject, single-trial resolution.
•Novel kinematic priming reveals rapid, implicit access to intention information•Intention information in movement kinematic primes action prediction•Single-trial intention readout predicts the amount of kinematic priming
To navigate the social environment, we often need to predict the goals and intentions of others. Scaliti et al. demonstrate that movement kinematics provides human perceivers with rapid, implicit access to intention information. |
doi_str_mv | 10.1016/j.cub.2023.05.055 |
format | article |
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•Novel kinematic priming reveals rapid, implicit access to intention information•Intention information in movement kinematic primes action prediction•Single-trial intention readout predicts the amount of kinematic priming
To navigate the social environment, we often need to predict the goals and intentions of others. Scaliti et al. demonstrate that movement kinematics provides human perceivers with rapid, implicit access to intention information.</description><identifier>ISSN: 0960-9822</identifier><identifier>EISSN: 1879-0445</identifier><identifier>DOI: 10.1016/j.cub.2023.05.055</identifier><identifier>PMID: 37339628</identifier><language>eng</language><publisher>England: Elsevier Inc</publisher><subject>Biomechanical Phenomena ; Humans ; Intention ; kinematic encoding ; kinematic priming ; kinematic readout ; Movement ; prospective information ; Prospective Studies ; Reaction Time</subject><ispartof>Current biology, 2023-07, Vol.33 (13), p.2717-2727.e6</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2023 The Authors 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-2636a14c2448613a22d8cddee61f2b0675312d36171de20e067330d991d5a63c3</citedby><cites>FETCH-LOGICAL-c452t-2636a14c2448613a22d8cddee61f2b0675312d36171de20e067330d991d5a63c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37339628$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Scaliti, Eugenio</creatorcontrib><creatorcontrib>Pullar, Kiri</creatorcontrib><creatorcontrib>Borghini, Giulia</creatorcontrib><creatorcontrib>Cavallo, Andrea</creatorcontrib><creatorcontrib>Panzeri, Stefano</creatorcontrib><creatorcontrib>Becchio, Cristina</creatorcontrib><title>Kinematic priming of action predictions</title><title>Current biology</title><addtitle>Curr Biol</addtitle><description>The ability to anticipate what others will do next is crucial for navigating social, interactive environments. Here, we develop an experimental and analytical framework to measure the implicit readout of prospective intention information from movement kinematics. Using a primed action categorization task, we first demonstrate implicit access to intention information by establishing a novel form of priming, which we term kinematic priming: subtle differences in movement kinematics prime action prediction. Next, using data collected from the same participants in a forced-choice intention discrimination task 1 h later, we quantify single-trial intention readout—the amount of intention information read by individual perceivers in individual kinematic primes—and assess whether it can be used to predict the amount of kinematic priming. We demonstrate that the amount of kinematic priming, as indexed by both response times (RTs) and initial fixations to a given probe, is directly proportional to the amount of intention information read by the individual perceiver at the single-trial level. These results demonstrate that human perceivers have rapid, implicit access to intention information encoded in movement kinematics and highlight the potential of our approach to reveal the computations that permit the readout of this information with single-subject, single-trial resolution.
•Novel kinematic priming reveals rapid, implicit access to intention information•Intention information in movement kinematic primes action prediction•Single-trial intention readout predicts the amount of kinematic priming
To navigate the social environment, we often need to predict the goals and intentions of others. Scaliti et al. demonstrate that movement kinematics provides human perceivers with rapid, implicit access to intention information.</description><subject>Biomechanical Phenomena</subject><subject>Humans</subject><subject>Intention</subject><subject>kinematic encoding</subject><subject>kinematic priming</subject><subject>kinematic readout</subject><subject>Movement</subject><subject>prospective information</subject><subject>Prospective Studies</subject><subject>Reaction Time</subject><issn>0960-9822</issn><issn>1879-0445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMotlZ_gBfpTS9bk8kmu4sHkeIXFrzoOaTJbE3ZD012C_57U1uLXoSBGWbeeWd4CDlldMIok5fLiennE6DAJ1TEEHtkyPKsSGiain0ypIWkSZEDDMhRCEtKGeSFPCQDnnFeSMiH5PzJNVjrzpnxu3e1axbjthxr07m2iR207rsMx-Sg1FXAk20ekde725fpQzJ7vn-c3swSkwroEpBcapYaSNNcMq4BbG6sRZSshDmVmeAMLJcsYxaBYuxwTm1RMCu05IaPyPXG972f12gNNp3XlVr_pv2narVTfyeNe1OLdqUY5SLjwKLDxdbBtx89hk7VLhisKt1g2wcFOeRc8sgvStlGanwbgsdyd4dRtSaslioSVmvCiooYIu6c_X5wt_GDNAquNgKMmFYOvQrGYWMiSo-mU7Z1_9h_AYUViss</recordid><startdate>20230710</startdate><enddate>20230710</enddate><creator>Scaliti, Eugenio</creator><creator>Pullar, Kiri</creator><creator>Borghini, Giulia</creator><creator>Cavallo, Andrea</creator><creator>Panzeri, Stefano</creator><creator>Becchio, Cristina</creator><general>Elsevier Inc</general><general>Cell Press</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230710</creationdate><title>Kinematic priming of action predictions</title><author>Scaliti, Eugenio ; Pullar, Kiri ; Borghini, Giulia ; Cavallo, Andrea ; Panzeri, Stefano ; Becchio, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-2636a14c2448613a22d8cddee61f2b0675312d36171de20e067330d991d5a63c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biomechanical Phenomena</topic><topic>Humans</topic><topic>Intention</topic><topic>kinematic encoding</topic><topic>kinematic priming</topic><topic>kinematic readout</topic><topic>Movement</topic><topic>prospective information</topic><topic>Prospective Studies</topic><topic>Reaction Time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Scaliti, Eugenio</creatorcontrib><creatorcontrib>Pullar, Kiri</creatorcontrib><creatorcontrib>Borghini, Giulia</creatorcontrib><creatorcontrib>Cavallo, Andrea</creatorcontrib><creatorcontrib>Panzeri, Stefano</creatorcontrib><creatorcontrib>Becchio, Cristina</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Current biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Scaliti, Eugenio</au><au>Pullar, Kiri</au><au>Borghini, Giulia</au><au>Cavallo, Andrea</au><au>Panzeri, Stefano</au><au>Becchio, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kinematic priming of action predictions</atitle><jtitle>Current biology</jtitle><addtitle>Curr Biol</addtitle><date>2023-07-10</date><risdate>2023</risdate><volume>33</volume><issue>13</issue><spage>2717</spage><epage>2727.e6</epage><pages>2717-2727.e6</pages><issn>0960-9822</issn><eissn>1879-0445</eissn><abstract>The ability to anticipate what others will do next is crucial for navigating social, interactive environments. Here, we develop an experimental and analytical framework to measure the implicit readout of prospective intention information from movement kinematics. Using a primed action categorization task, we first demonstrate implicit access to intention information by establishing a novel form of priming, which we term kinematic priming: subtle differences in movement kinematics prime action prediction. Next, using data collected from the same participants in a forced-choice intention discrimination task 1 h later, we quantify single-trial intention readout—the amount of intention information read by individual perceivers in individual kinematic primes—and assess whether it can be used to predict the amount of kinematic priming. We demonstrate that the amount of kinematic priming, as indexed by both response times (RTs) and initial fixations to a given probe, is directly proportional to the amount of intention information read by the individual perceiver at the single-trial level. These results demonstrate that human perceivers have rapid, implicit access to intention information encoded in movement kinematics and highlight the potential of our approach to reveal the computations that permit the readout of this information with single-subject, single-trial resolution.
•Novel kinematic priming reveals rapid, implicit access to intention information•Intention information in movement kinematic primes action prediction•Single-trial intention readout predicts the amount of kinematic priming
To navigate the social environment, we often need to predict the goals and intentions of others. Scaliti et al. demonstrate that movement kinematics provides human perceivers with rapid, implicit access to intention information.</abstract><cop>England</cop><pub>Elsevier Inc</pub><pmid>37339628</pmid><doi>10.1016/j.cub.2023.05.055</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biomechanical Phenomena Humans Intention kinematic encoding kinematic priming kinematic readout Movement prospective information Prospective Studies Reaction Time |
title | Kinematic priming of action predictions |
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