Conference paper Open Access

Can Robots Impact Human Comfortability During a Live Interview?

Redondo, Maria Elena Lechuga; Sciutti, Alessandra; Incao, Sara; Rea, Francesco; Niewiadomski, Radoslaw


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  <identifier identifierType="URL">https://zenodo.org/record/4601668</identifier>
  <creators>
    <creator>
      <creatorName>Redondo, Maria Elena Lechuga</creatorName>
      <givenName>Maria Elena Lechuga</givenName>
      <familyName>Redondo</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6375-9450</nameIdentifier>
      <affiliation>IIT, UNIGE</affiliation>
    </creator>
    <creator>
      <creatorName>Sciutti, Alessandra</creatorName>
      <givenName>Alessandra</givenName>
      <familyName>Sciutti</familyName>
      <affiliation>IIT</affiliation>
    </creator>
    <creator>
      <creatorName>Incao, Sara</creatorName>
      <givenName>Sara</givenName>
      <familyName>Incao</familyName>
      <affiliation>IIT, UNIGE</affiliation>
    </creator>
    <creator>
      <creatorName>Rea, Francesco</creatorName>
      <givenName>Francesco</givenName>
      <familyName>Rea</familyName>
      <affiliation>IIT</affiliation>
    </creator>
    <creator>
      <creatorName>Niewiadomski, Radoslaw</creatorName>
      <givenName>Radoslaw</givenName>
      <familyName>Niewiadomski</familyName>
      <affiliation>University of Trento, IIT</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Can Robots Impact Human Comfortability During a Live Interview?</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Comfortability, Human-Robot Social Interaction, Affective Com- puting, Humanoid Robot</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-03-08</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4601668</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1145/3434074.3447156</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/contact_unit_iit</relatedIdentifier>
  </relatedIdentifiers>
  <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;Interaction among humans does not always proceed without errors; situations might happen in which a wrong word or attitude can cause the partner to feel uneasy. However, humans are often very sensitive to these interaction failures and may be able to fix them.&lt;/p&gt;

&lt;p&gt;Our research aims to endow robots with the same skill. Thus the first step, presented in this short paper, investigates to what extent a humanoid robot can impact someone&amp;rsquo;s Comfortability in a realistic setting. To capture natural reactions, a set of real interviews performed by the humanoid robot iCub (acting as the interviewer) were organized. The interviews were designed in collaboration with a journalist from the press office of our institution and are meant to appear on the official institutional online magazine. The dialogue along with fluent human-like robotic actions were chosen not only to gather information about the participants&amp;rsquo; personal interests and professional career, necessary for the magazine column, but also to influence their Comfortability.&lt;/p&gt;

&lt;p&gt;Once the experiment is completed, the participants&amp;rsquo; self-report and spontaneous reactions (physical and physiological cues) will be explored to tackle the way people&amp;rsquo;s Comfortability may be manifested through non-verbal cues, and the way it may be impacted by the humanoid robot.&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/H2020/804388/">804388</awardNumber>
      <awardTitle>investigating Human Shared PErception with Robots</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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