Multidimensional Scaling of Computer-generated Abstract Forms
We tried to find perceptual attributes of perceived forms and to construct a “perceived-form space” like a perceived-color space, applying a nonmetric individual-differences multidimensional scaling (MDS) technique. Three experiments were conducted on computer-generated abstract forms, varying the frequency and amplitude of sinusoidal or chopping wave superimposed on a circle and the random modulation in the local frequency and amplitude of the waveform. The results of MDS indicated consistently three dimensions, complexity, regularity and curvedness, corresponding to the frequency, the smallness of the random modulation, and the curvature of the waveform, respectively, with high squared Rs. The results of Semantic Differential were highly correlated with the results of MDS.
KeywordsMDS form perception perceptual attributes computer-generated forms Semantic Differential
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