Dataset Open Access
Feit, Anna Maria;
Weir, Daryl;
Oulasvirta, Antti
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <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="Text">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"><p>Tihs dataset contains motion capture, keylog, eye tracking, and video data of 30 participants, transcribing regular sentences. It is part of the following publication:</p> <p>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 &#39;16). ACM, New York, NY, USA, 4262-4273</p> <p>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&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&nbsp;that self-taught typists can achieve performance levels comparable with touch typists, even when using fewer fingers. Motion capture data exposed&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.&nbsp;</p> <p>The dataset is free for non-commercial use. Please cite the above work.&nbsp;</p> <p>Note that participants wrote in either Finnish or English.&nbsp;</p></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> </resource>
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