کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4033760 1603211 2013 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An almost general theory of mean size perception
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی سیستم های حسی
پیش نمایش صفحه اول مقاله
An almost general theory of mean size perception
چکیده انگلیسی


• There was no cognitive access to the size of individual elements.
• All elements were pooled together in a compulsory manner before size information reaches awareness.
• The mean size was perceived in a holistic manner by extracting an ensemble characteristic.
• The size of an element cannot be measured with absolute accuracy.
• Only a limited number of elements can be taken into account in the computation of the mean size.

A general explanation for the observer’s ability to judge the mean size of simple geometrical figures, such as circles, was advanced. Results indicated that, contrary to what would be predicted by statistical averaging, the precision of mean size perception decreases with the number of judged elements. Since mean size discrimination was insensitive to how total size differences were distributed among individual elements, this suggests that the observer has a limited cognitive access to the size of individual elements pooled together in a compulsory manner before size information reaches awareness. Confirming the associative law of addition means, observers are indeed sensitive to the mean, not the sizes of individual elements. All existing data can be explained by an almost general theory, namely, the Noise and Selection (N&S) Theory, formulated in exact quantitative terms, implementing two familiar psychophysical principles: the size of an element cannot be measured with absolute accuracy and only a limited number of elements can be taken into account in the computation of the average size. It was concluded that the computation of ensemble characteristics is not necessarily a tool for surpassing the capacity limitations of perceptual processing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Vision Research - Volume 83, 3 May 2013, Pages 25–39
نویسندگان
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