Conference paper Open Access

HCI –Human Centered Interaction

Sciutti, Alessandra; Sandini, Giulio

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  <identifier identifierType="DOI">10.5281/zenodo.3936566</identifier>
      <creatorName>Sciutti, Alessandra</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-1056-3398</nameIdentifier>
      <affiliation>CONTACT Unit, Istituto Italiano di Tecnologia</affiliation>
      <creatorName>Sandini, Giulio</creatorName>
      <affiliation>RBCS Unit, Isitituto Italiano di Tecnologia</affiliation>
    <title>HCI –Human Centered Interaction</title>
    <subject>HRI, embodiment, development, cognitive architecture, shared perception, transdisciplinarity</subject>
    <date dateType="Issued">2020-07-07</date>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3936565</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;&lt;em&gt;Future AI specialists should ideally be faced from the start of their career with the most critical challenge in developing technology designed for humans: the humans. The complexity of human cognition as a whole and of its social component in particular needs to be accounted for, if the developer aims at creating AI systems able to help and engage users effectively and for more than a few days. This entails knowing your challenge - or at least gathering enough instruments to know how to approach the problem in a constructive way or who to ask for help. In our proposal we suggest 5 topics that according to us should be part of any syllabus used for teaching HCI skills to designers of AI interactive systems - and potentially also for those adopted in the context of HRI. This would help developers in creating technology considerate of humans, respectful of our needs and intrinsically caring of our wellbeing in the interaction.&lt;/em&gt;&lt;/p&gt;</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/804388/">804388</awardNumber>
      <awardTitle>investigating Human Shared PErception with Robots</awardTitle>
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