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Human Emotion and the Uncanny Valley: A Glm, Mds, and Isomap Analysis of Robot Video Ratings

The eerie feeling attributed to human-looking robots and animated characters may
be a key factor in our perceptual and cognitive discrimination between the human and the
merely humanlike. This study applies factor analysis, correlation, the generalized linear
model (GLM), multidimensional scaling (MDS), and kernel isometric mapping
(ISOMAP) to analyze ratings of 27 emotions of 16 moving figures whose appearance
varies along a human likeness continuum. The results indicate (1) Attributions of eerie
and creepy better capture human visceral reaction to an uncanny robot than strange. (2)
Eeriness and creepiness are mainly associated with fear but also shocked, disgusted, and
nervous. Strange and humanlike are less strongly associated with emotion. (3) Thus,
strange and humanlike may be more cognitive, while eerie and creepy are more
perceptual and emotional. (4) Human and facial 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.

Identiferoai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/1977
Date04 November 2009
CreatorsHo, Chin-Chang
ContributorsMacDorman, Karl F.
Source SetsIndiana University-Purdue University Indianapolis
Languageen_US
Detected LanguageEnglish
TypeThesis

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