Investigating mind perception in HRI through real-time implicit and explicit measurements

buir.contributor.authorÜrgen, Burcu Ayşen
buir.contributor.orcidÜrgen, Burcu Ayşen|0000-0001-9664-0309
dc.citation.epage141
dc.citation.spage139
dc.contributor.authorPekçetin, T.N.
dc.contributor.authorAcarturk, C.
dc.contributor.authorÜrgen, Burcu Ayşen
dc.date.accessioned2025-02-18T09:02:43Z
dc.date.available2025-02-18T09:02:43Z
dc.date.issued2024-03-11
dc.departmentDepartment of Psychology
dc.departmentNational Magnetic Resonance Research Center (UMRAM)
dc.departmentAysel Sabuncu Brain Research Center (BAM)
dc.descriptionConference Name: 2024 ACM/IEEE International Conference on Human-Robot Interaction
dc.descriptionDate of Conference: 11-14 March 2024
dc.description.abstractSocial robots have revolutionized social interaction and communication. Thisstudy explores our perception of robots, focusing on the factors infuencing evaluations of Agency and Experience - two dimensions of mind perception. Three distinct aspects of our research include: investigating perceiver determinants alongside perceived agents and their actions, utilizing a naturalistic setup featuring live actions of both human and robot actors, and employing a comprehensive approach with both implicit and explicit measurements. In-person data were collected from 160 individuals across four generations. Future steps involve data analysis and result discussion. This study reevaluates the determinants of mind perception using a real-time paradigm, intending to contribute to the ongoing debate and deepen our understanding of mind perception in HRI.
dc.description.provenanceSubmitted by Emircan Aldemir (emircan.aldemir@bilkent.edu.tr) on 2025-02-18T09:02:43Z No. of bitstreams: 1 Investigating_mind_perception_in_HRI_through_real-time_implicit_and_explicit_measurements.pdf: 1017420 bytes, checksum: 7072000870295e3757a5892eb28fa21a (MD5)en
dc.description.provenanceMade available in DSpace on 2025-02-18T09:02:43Z (GMT). No. of bitstreams: 1 Investigating_mind_perception_in_HRI_through_real-time_implicit_and_explicit_measurements.pdf: 1017420 bytes, checksum: 7072000870295e3757a5892eb28fa21a (MD5) Previous issue date: 2024-03-11en
dc.identifier.doi10.1145/3610978.3638366
dc.identifier.isbn9798400703232
dc.identifier.urihttps://hdl.handle.net/11693/116359
dc.language.isoEnglish
dc.publisherAssociation for Computing Machinery
dc.relation.isversionofhttps://dx.doi.org/10.1145/3610978.3638366
dc.rightsCC BY 4.0 (Attribution 4.0 International Deed)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.source.titleHRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
dc.subjectSocial robotics
dc.subjectHuman-robot interaction
dc.subjectMind perception
dc.subjectImplicit association test
dc.subjectEcological validity
dc.titleInvestigating mind perception in HRI through real-time implicit and explicit measurements
dc.typeConference Paper

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