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Do we know others' visual liking?

Content Provider	PubMed Central
Author	Niimi, Ryosuke Watanabe, Katsumi
Copyright Year	2014
Abstract	Although personal liking varies considerably, there is a general trend of liking shared by many people (public favour). Visual liking in particular may be largely shared by people, as it is strongly influenced by relatively low-level perceptual factors. If so, it is likely that people have correct knowledge of public favour. We examined the human ability to predict public favour. In three experiments, participants rated the subjective likability of various visual objects (e.g. car, chair), and predicted the mean liking rating by other participants. Irrespective of the object's category, the correlation between individual prediction and actual mean liking of others (prediction validity) was not higher than the correlation between the predictor's own liking and the mean liking of others. Further, individual prediction correlated more with the predictor's own liking than it was with others' liking. Namely, predictions were biased towards the predictor's subjective liking (a variation of the false consensus effect). The results suggest that humans do not have (or cannot access) correct knowledge of public favour. It was suggested that increasing the number of predictors is the appropriate strategy for making a good prediction of public favour.
Related Links	http://dx.doi.org/10.1068/i0661
Ending Page	584
Page Count	13
Starting Page	572
File Format	PDF
ISSN	20416695
e-ISSN	20416695
Journal	i-Perception
Issue Number	7
Volume Number	5
Language	English
Publisher	Pion
Publisher Date	2014-01-01
Access Restriction	Open
Rights Holder	Pion
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Ophthalmology Experimental and Cognitive Psychology Artificial Intelligence Sensory Systems

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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