May 5, 2016 Dataset Open Access

Feit, Anna Maria; Weir, Daryl; Oulasvirta, Antti

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  <identifier identifierType="DOI">10.5281/zenodo.4034268</identifier>
  <creators>
    <creator>
      <creatorName>Feit, Anna Maria</creatorName>
      <givenName>Anna Maria</givenName>
      <familyName>Feit</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4168-6099</nameIdentifier>
      <affiliation>Aalto University</affiliation>
    </creator>
    <creator>
      <creatorName>Weir, Daryl</creatorName>
      <givenName>Daryl</givenName>
      <familyName>Weir</familyName>
      <affiliation>Aalto University</affiliation>
    </creator>
    <creator>
      <creatorName>Oulasvirta, Antti</creatorName>
      <givenName>Antti</givenName>
      <familyName>Oulasvirta</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2498-7837</nameIdentifier>
      <affiliation>Aalto University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>How We Type: Movement Strategies and Performance in Everyday Typing</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>Text entry</subject>
    <subject>Typing</subject>
    <subject>Touch typing</subject>
    <subject>Keyboard</subject>
    <subject>Human-Computer Interaction</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-05-05</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4034268</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf" resourceTypeGeneral="ConferencePaper">10.1145/2858036.2858233</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4034267</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc/4.0/legalcode">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Tihs dataset contains motion capture, keylog, eye tracking, and video data of 30 participants, transcribing regular sentences. It is part of the following publication:&lt;/p&gt;

&lt;p&gt;Anna Maria Feit, Daryl Weir, Antti Oulasvirta. 2016.How We Type: Movement Strategies and Performance in Everyday Typing.In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI &amp;#39;16). ACM, New York, NY, USA, 4262-4273&lt;/p&gt;

&lt;p&gt;The paper revisits the present understanding of typing, which originates mostly from studies of trained typists using the tenfinger touch typing system. Our goal was&amp;nbsp;to characterise the majority of present-day users who are untrained and employ diverse, self-taught techniques. In a transcription task, we compared self-taught typists and those that took a touch typing course. We reported several differences in performance, gaze deployment and movement strategies. The most surprising finding was&amp;nbsp;that self-taught typists can achieve performance levels comparable with touch typists, even when using fewer fingers. Motion capture data exposed&amp;nbsp;3 predictors of high performance: 1) unambiguous mapping (a letter is consistently pressed by the same finger), 2) active preparation of upcoming keystrokes, and 3) minimal global hand motion.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The dataset is free for non-commercial use. Please cite the above work.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Note that participants wrote in either Finnish or English.&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/637991/">637991</awardNumber>
      <awardTitle>Computational User Interface Design</awardTitle>
    </fundingReference>
  </fundingReferences>
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