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In our previous research on human perception of simple patterns (Townsend, Hu, & Evans, 1984), positive dependencies in the sampling of features were interpreted in terms of underlying sensory and decisional processes. Those findings suggested a model, called Blobloc here, which is further tested in the present study under various conditions of stimulus duration in Experi- ment 1 and feature-specific payoff ◊ stimulus duration in Experiment 2. Signal detection micro- analyses generally supported Blobloc by discovering estimated d' greater on a given feature when another feature was a "hit" or a "correct rejection." The bias, as estimated by ~, was less consis- tent in the microanalyses. The macroanalyses found that d' and ~ on individual features behaved as predicted as functions of the experimental conditions. However, in contrast to previous results, the variation in number of features in a pattern was apparently too small to yield consistent d' and ~ changes. In addition, increasing stimulus duration produced tendencies toward linear increases in/~ (significant in Experiment 2), a finding consistent with Blobloc. A plausible alter- native medel (Correlated Noise model) is rejected by the results of the present and previous studies. Recent studies have begun to clarify how psychologi- cal and contextual variables influence the way we per- ceive simple patterns made up of elementary sets of lines and curves (e.g., Keren & Baggen, 1981; Loomis, 1982; Lupker, 1979; Townsend, Hu, & Ashby, 1980, 1981;

Feature sensitivity, bias, and interdependencies as a function of energy and payoffs