Quantifying visual field shape for improving accuracy of search performance prediction

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)195-206
Journal / PublicationPerceptual and Motor Skills
Volume100
Issue number1
Publication statusPublished - Feb 2005

Abstract

The current study calculated a set of 16 shape indices of six subjects (4 men and 2 women, 21-28 years old) for easy and precise quantification of visual lobe shapes using Visual Lobe Measurement System (VILOMS) software. The indices can be used in mathematical models of visual search for better understanding of search behaviour and higher accuracy of search performance prediction. General patterns in the shape indices showed that visual lobes of the subjects were slightly irregular, with low sphericity, a moderately rough boundary, horizontally elongated and slightly asymmetric along both axes. Given the complex relationships among visual lobe area, lobe shape, and search strategy, it seems that a more detailed analysis than hitherto attempted will be necessary. Quantifying lobe shape with the 16 shape indexes is a useful step to performing such analysis. © Perceptual and Motor Skills 2005.

Citation Format(s)

Quantifying visual field shape for improving accuracy of search performance prediction. / Chan, Alan H.S.; Yu, Rui F.; Courtney, Alan J.
In: Perceptual and Motor Skills, Vol. 100, No. 1, 02.2005, p. 195-206.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review