Quantitative and structural factors in the judgment of pattern complexity

Abstract

The processes underlying judgment of pattern complexity were investigated using patterns containing eight dots in a 4 × 4 matrix. Thirty-two subjects rated the complexity of 140 patterns that were taken from patterns generated by 12 other subjects in a preliminary experiment. Factor analysis of mean complexity ratings and 12 physical variables, which objectively described configuration of dots, revealed a "quantitative factor" and a "structural factor." Mean complexity loaded on both factors. Multiple regression analysis showed that the mean complexity was well predicted by combination of a quantitative variable with a structural variable. Analysis of individual data also suggested that individual differences in complexity judgment could be explained by the weights on these two factors. In addition, a rating experiment was carried out in which 60 patterns were presented in limited stimulus durations (50 msec, 200 msec, 1 sec, or 4 sec). The quantitative variables were highly correlated with the complexity ratings in all conditions, whereas the structural variables affected the ratings in long durations but not in short durations. These results support the view that visual complexity is judged through two processes: One is a fast process that evaluates quantitative aspects in a stimulus pattern, and the other is a slow process that detects the structure in the pattern. © 1985 Psychonomic Society, Inc.