Social, but still uncanny
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Author (Corporation)
Publication date
2025
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Type
04B - Conference paper
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Parent work
Social Robotics. 16th International Conference, ICSR + AI 2024, Odense, Denmark, October 23–26, 2024, Proceedings
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Series
Lecture Notes in Computer Science
Series number
15562
Volume
2
Issue / Number
Pages / Duration
397-403
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Publisher / Publishing institution
Springer
Place of publication / Event location
Singapore
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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.
Keywords
Event
International Conference on Social Robotics (ICSR)
Exhibition start date
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ISBN
978-981-96-3518-4
978-981-96-3519-1
978-981-96-3519-1
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Kühne, K., Bendel, O., Fischer, M. H., & Zhou, Y. (2025). Social, but still uncanny. In O. Palinko, L. Bodenhagen, J.-J. Cabibihan, K. Fischer, S. Šabanović, K. Winkle, L. Behera, S. Sam Ge, D. Chrysostomou, W. Jiang, & H. He (Eds.), Social Robotics. 16th International Conference, ICSR + AI 2024, Odense, Denmark, October 23–26, 2024, Proceedings (Vol. 2, pp. 397–403). Springer. https://doi.org/10.1007/978-981-96-3519-1_36