Investigating mind perception in HRI through real-time implicit and explicit measurements
buir.contributor.author | Ürgen, Burcu Ayşen | |
buir.contributor.orcid | Ürgen, Burcu Ayşen|0000-0001-9664-0309 | |
dc.citation.epage | 141 | |
dc.citation.spage | 139 | |
dc.contributor.author | Pekçetin, T.N. | |
dc.contributor.author | Acarturk, C. | |
dc.contributor.author | Ürgen, Burcu Ayşen | |
dc.date.accessioned | 2025-02-18T09:02:43Z | |
dc.date.available | 2025-02-18T09:02:43Z | |
dc.date.issued | 2024-03-11 | |
dc.department | Department of Psychology | |
dc.department | National Magnetic Resonance Research Center (UMRAM) | |
dc.department | Aysel Sabuncu Brain Research Center (BAM) | |
dc.description | Conference Name: 2024 ACM/IEEE International Conference on Human-Robot Interaction | |
dc.description | Date of Conference: 11-14 March 2024 | |
dc.description.abstract | Social 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.provenance | Submitted 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.provenance | Made 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: 2024-03-11 | en |
dc.identifier.doi | 10.1145/3610978.3638366 | |
dc.identifier.isbn | 9798400703232 | |
dc.identifier.uri | https://hdl.handle.net/11693/116359 | |
dc.language.iso | English | |
dc.publisher | Association for Computing Machinery | |
dc.relation.isversionof | https://dx.doi.org/10.1145/3610978.3638366 | |
dc.rights | CC BY 4.0 (Attribution 4.0 International Deed) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source.title | HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction | |
dc.subject | Social robotics | |
dc.subject | Human-robot interaction | |
dc.subject | Mind perception | |
dc.subject | Implicit association test | |
dc.subject | Ecological validity | |
dc.title | Investigating mind perception in HRI through real-time implicit and explicit measurements | |
dc.type | Conference Paper |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Investigating_mind_perception_in_HRI_through_real-time_implicit_and_explicit_measurements.pdf
- Size:
- 993.57 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: