July 8, 2024 Dataset Open Access

Lübbert, Annika; Sengelmann, Malte; Heimann, Katrin; Schneider, Till R.; Engel, Andreas K.; Göschl, Florian

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  <identifier identifierType="DOI">10.25592/uhhfdm.14631</identifier>
  <creators>
    <creator>
      <creatorName>Lübbert, Annika</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4116-1698</nameIdentifier>
      <affiliation>Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Sengelmann, Malte</creatorName>
      <affiliation>Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Heimann, Katrin</creatorName>
      <affiliation>Center for Educational Development, Aarhus University, Trøjborgvej 82-84, 8000 Aarhus C, Denmark</affiliation>
    </creator>
    <creator>
      <creatorName>Schneider, Till R.</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8889-6248</nameIdentifier>
      <affiliation>Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Engel, Andreas K.</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4899-8466</nameIdentifier>
      <affiliation>Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Göschl, Florian</creatorName>
      <affiliation>Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Predicting social experience from dyadic interaction dynamics: the BallGame, a novel paradigm to study social engagement</title>
  </titles>
  <publisher>Universität Hamburg</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>social cognition</subject>
    <subject>dyadic interaction</subject>
    <subject>embodiment</subject>
    <subject>sensory motor contingencies</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Funder">
      <contributorName>European Commission</contributorName>
      <nameIdentifier nameIdentifierScheme="info">info:eu-repo/grantAgreement/EC/H2020/641321/</nameIdentifier>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2024-07-08</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/14631</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.14630</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;To investigate the embodied, distributed and hence dynamically unfolding nature of social cognitive capacities, we present a novel laboratory-based coordination task: the BallGame. Our paradigm requires continuous sensing and acting between two players who jointly steer a virtual ball around obstacles towards as many targets as possible.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Scripts and preprocessed behavioural data to conduct the main analyses (MANOVA and regression) published in:&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;L&amp;uuml;bbert A, Sengelmann M, Heimann K, Schneider TR, Engel AK, G&amp;ouml;schl F. (2024) Predicting social experience from dyadic interaction dynamics: the BallGame, a novel paradigm to study social engagement. Scientific Reports &lt;strong&gt;14&lt;/strong&gt;, 19666. DOI: https://doi.org/10.1038/s41598-024-69678-9.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Published open access: https://rdcu.be/dRWQV&lt;/p&gt;

&lt;p&gt;Data was collected at the Institute of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Germany, in 2019.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The experiment involved twenty-three pairs of participants who played 60 one-minute trials of the &amp;lsquo;BallGame&amp;rsquo;, an interpersonal coordination task in which two players steer a virtual ball on a 2D surface around obstacles towards as many targets as possible by bending and flexing their index fingers. Participants played this game under three different conditions: (1) individual play: participants see the same six of nine active obstacles but play on separate landscapes (each steering their own ball), (2) joint play SAME: participants steer a shared ball, both of them see the same six of the nine active obstacles, and three obstacles remain invisible to both; and (3) joint play DIFF: participants steer a shared ball, three obstacles are visible to both players, three only to the first and three only to the second player. We used a blocked experimental design: first 10 trials of individual play, then 10 trials of either joint play SAME or DIFF (counter-balanced across pairs), followed by 10 trials of the other joint play condition. After a break, participants again completed 20 trials of joint play and 10 trials of individual play.&lt;/p&gt;

&lt;p&gt;During the trial, we measured finger movement, ball position, target collection and obstacle collision events (as well as eye movement, EEG). After every 3-4 trials, we asked participants to rate their level of engagement, agreement and predictability. After the game we conducted individual interviews with participants.&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">This work was supported by grants from the EU (project 'socSMCs,' H2020-641321) and the DFG (SFB936-178316478-A3 and TRR169-261402652-B1/B4).</description>
    <description descriptionType="Other">{"references": ["L\u00fcbbert A, Sengelmann M, Heimann K, Schneider TR, Engel AK, G\u00f6schl F. (2024) Predicting social experience from dyadic interaction dynamics: the BallGame, a novel paradigm to study social engagement. Scientific Reports 14, 19666. DOI: https://doi.org/10.1038/s41598-024-69678-9."]}</description>
  </descriptions>
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