Social, but still uncanny
dc.contributor.author | Kühne, Katharina | |
dc.contributor.author | Bendel, Oliver | |
dc.contributor.author | Fischer, Martin H. | |
dc.contributor.author | Zhou, Yuefang | |
dc.contributor.editor | Palinko, Oskar | |
dc.contributor.editor | Bodenhagen, Leon | |
dc.contributor.editor | Cabibihan, John-John | |
dc.contributor.editor | Fischer, Kerstin | |
dc.contributor.editor | Šabanović, Selma | |
dc.contributor.editor | Winkle, Katie | |
dc.contributor.editor | Behera, Laxmidhar | |
dc.contributor.editor | Sam Ge, Shuzhi | |
dc.contributor.editor | Chrysostomou, Dimitrios | |
dc.contributor.editor | Jiang, Wanyue | |
dc.contributor.editor | He, Hongsheng | |
dc.date.accessioned | 2025-07-28T13:09:47Z | |
dc.date.issued | 2025 | |
dc.description.abstract | The Uncanny Valley hypothesis proposes that as robots become more human-like, they are initially liked better but then elicit a feeling of eeriness, peaking just before achieving full human resemblance. It remains unclear whether context can modify this effect. In an online experiment, participants were primed with a vignette about either robots as social companions (social context priming) or a neutral topic, and then rated images of robots on human-likeness, likability, trust, and creepiness. We found a negative linear relationship between a robot’s human-likeness and its likability and trustworthiness and a positive lin-ear relationship between a robot’s human-likeness and creepiness. Social context priming improved overall likability and trust of robots but did not modulate the Uncanny Valley effect. This indicates that, while presenting robots in a social context can improve their acceptance, this does not change our inherent discomfort with increasing human-like robots. | |
dc.event | International Conference on Social Robotics (ICSR) | |
dc.identifier.doi | 10.1007/978-981-96-3519-1_36 | |
dc.identifier.isbn | 978-981-96-3518-4 | |
dc.identifier.isbn | 978-981-96-3519-1 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/52080 | |
dc.language.iso | en | |
dc.publisher | Springer | |
dc.relation.ispartof | Social Robotics. 16th International Conference, ICSR + AI 2024, Odense, Denmark, October 23–26, 2024, Proceedings | |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.spatial | Singapore | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.subject.ddc | 300 - Sozialwissenschaften, Soziologie, Anthropologie | |
dc.title | Social, but still uncanny | |
dc.type | 04B - Beitrag Konferenzschrift | |
dc.volume | 2 | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
fhnw.openAccessCategory | Closed | |
fhnw.pagination | 397-403 | |
fhnw.publicationState | Published | |
fhnw.seriesNumber | 15562 | |
relation.isAuthorOfPublication | 47ab0867-6bcc-4476-9891-def80a6fcc9b | |
relation.isAuthorOfPublication.latestForDiscovery | 47ab0867-6bcc-4476-9891-def80a6fcc9b |
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