Sound Research WIKINDX
Sound Research WIKINDX |
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Ho, C.-C., MacDorman, K. F., & Dwi Pramono, Z. A. 2008, March 12–15, Human emotion and the Uncanny Valley: A GLM, MDS, and isomap analysis of robot video ratings. Paper presented at Third ACM/IEEE International Conference on Human-Robot Interaction. Added by: Mark Grimshaw-Aagaard (5/15/09, 9:37 AM) |
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| Resource type: Proceedings Article Peer reviewed ID no. (ISBN etc.): 978-1-60558-017 BibTeX citation key: Ho2008 Email resource to friend View all bibliographic details  |
Categories: General Keywords: Emotion, Uncanny Creators: Dwi Pramono, Ho, MacDorman Publisher: ACM Collection: Third ACM/IEEE International Conference on Human-Robot Interaction |
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| Abstract |
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"The eerie feeling attributed to human-looking robots and animated characters may be a key factor in our perceptual and cognitive discrimination of the human and humanlike. This study applies regression, the generalized linear model (GLM), factor analysis, multidimensional scaling (MDS), and kernel isometric mapping (Isomap) to analyze ratings of 27 emotions of 18 moving ¯gures whose appearance varies along a human likeness continuum. The results indicate (1) Attributions of eerie and creepy better capture our visceral reaction to an uncanny robot than strange. (2) Eerie and creepy are mainly associated with fear but also shocked, disgusted, and nervous. Strange is less strongly associated with emotion. (3) Thus, strange may be more cognitive, while eerie and creepy are more perceptual/emotional. (4) Human features increase ratings of human likeness. (5) Women are slightly more sensitive to eerie and creepy than men; and older people may be more willing to attribute human likeness to a robot despite its eeriness."
Added by: Mark Grimshaw-Aagaard |