October 10, 2021 Dataset Open Access

Wenk, Nicolas; Jordi, Mirjam V.; Buetler, Karin A.; Marchal-Crespo, Laura

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  <identifier identifierType="DOI">10.5281/zenodo.5558770</identifier>
  <creators>
    <creator>
      <creatorName>Wenk, Nicolas</creatorName>
      <givenName>Nicolas</givenName>
      <familyName>Wenk</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5425-0484</nameIdentifier>
      <affiliation>Motor Learning and Neurorehabilitation Laboratory,  ARTORG Center for Biomedical Engineering Research,  University of Bern, Bern, Switzerland</affiliation>
    </creator>
    <creator>
      <creatorName>Jordi, Mirjam V.</creatorName>
      <givenName>Mirjam V.</givenName>
      <familyName>Jordi</familyName>
      <affiliation>Motor Learning and Neurorehabilitation Laboratory,  ARTORG Center for Biomedical Engineering Research,  University of Bern, Bern, Switzerland</affiliation>
    </creator>
    <creator>
      <creatorName>Buetler, Karin A.</creatorName>
      <givenName>Karin A.</givenName>
      <familyName>Buetler</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4251-2149</nameIdentifier>
      <affiliation>Motor Learning and Neurorehabilitation Laboratory,  ARTORG Center for Biomedical Engineering Research,  University of Bern, Bern, Switzerland</affiliation>
    </creator>
    <creator>
      <creatorName>Marchal-Crespo, Laura</creatorName>
      <givenName>Laura</givenName>
      <familyName>Marchal-Crespo</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8008-5803</nameIdentifier>
      <affiliation>Motor Learning and Neurorehabilitation Laboratory,  ARTORG Center for Biomedical Engineering Research,  University of Bern, Bern, Switzerland and Department of Cognitive Robotics, Delft University of Technology, Delft, Netherlands</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Experimental data for the study: "Hiding Assistive Robots During Training in Immersive VR Does not Affect Users' Motivation, Presence, Embodiment, and Performance"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>attention</subject>
    <subject>embodiment</subject>
    <subject>gaze</subject>
    <subject>head-mounted display</subject>
    <subject>motivation</subject>
    <subject>presence</subject>
    <subject>rehabilitation</subject>
    <subject>robot</subject>
    <subject>upper-limb</subject>
    <subject>virtual reality</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-10-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5558770</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5558769</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.0</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;The datasets contains the motor performance metrics, the gaze fixation time ratios, and the questionnaire responses for a study involving a motor task with a rehabilitation assistive robot and an immersive virtual reality head-mounted display. The&amp;nbsp;study was performed in the Motor Learning and Neurorehabilitation Laboratory at University of Bern. All data are stored in&amp;nbsp;&amp;ldquo;csv&amp;rdquo; files. The variables inside the files are explained in &amp;ldquo;DataFrameDescription.rtf&amp;rdquo;. For questions, please contact nicolas.wenk@unibe.ch or L.MarchalCrespo@tudelft.nl.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001711</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/SNSF/Careers/PP00P2_163800/">PP00P2_163800</awardNumber>
      <awardTitle>Optimize Motor Learning to Improve Neurorehabilitation</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>