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The HUMANE typology and method – supporting the analysis and design of human-machine networks

Engen, Vegard; Følstad, Asbjørn


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  <identifier identifierType="DOI">10.5281/zenodo.807632</identifier>
  <creators>
    <creator>
      <creatorName>Engen, Vegard</creatorName>
      <givenName>Vegard</givenName>
      <familyName>Engen</familyName>
      <affiliation>University of Southampton, IT Innovation Centre</affiliation>
    </creator>
    <creator>
      <creatorName>Følstad, Asbjørn</creatorName>
      <givenName>Asbjørn</givenName>
      <familyName>Følstad</familyName>
      <affiliation>SINTEF</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The HUMANE typology and method – supporting the analysis and design of human-machine networks</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>Human-machine networks</subject>
    <subject>Typology</subject>
    <subject>Method</subject>
    <subject>Implications</subject>
    <subject>Design patterns</subject>
    <subject>eVACUATE</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-06-13</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Working paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/807632</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.807631</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/humane2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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;This white paper presents the HUMANE typology and method, intended to support the analysis and design for human-machine networks (HMN). The typology serves to characterise HMNs on dimensions pertaining to the actors of the network, the relations between the actors, network extent and network structure. The method supports profiling HMNs along these dimensions, to analyse implications of the network characteristics, identify similar networks, and enable the transfer of design knowledge and experience in the form of design patterns. The application of the typology and method is exemplified a summary presentations of one of the HUMANE case studies (eVACUATE).&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/H2020/645043/">645043</awardNumber>
      <awardTitle>HUMANE: a typology, method and roadmap for HUman-MAchine NEtworks</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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