A framework is presented to better characterize the role of individual differences in information processing style and their interplay with contextual factors in determining decision making quality. In Experiment 1, we show that individual differences in information processing style are flexible and can be modified by situational factors. Specifically, a situational manipulation that induced an analytical mode of thought improved decision quality. In Experiment 2, we show that this improvement in decision quality is highly contingent on the compatibility between the (...) dominant thinking mode and the nature of the task. That is, encouraging an intuitive mode of thought led to better performance on an intuitive task but hampered performance on an analytical task. The reverse pattern was obtained when an analytical mode of thought was encouraged. We discuss the implications of these results for the assessment of decision making competence, and suggest practical directions to help individuals better adjust their information processing style to the situation at hand and make optimal decisions. (shrink)

As part of the rationality debate, we examine the impact of deliberative and intuitive thinking styles on diversity preference behavior. A sample of 230 students completed the Rational Experiential Inventory and the Diversity Preference Questionnaire, an original measure of diversification behavior in different real-life situations. In cases where no normative solution was available, we found a clear preference for diversity-seeking in the gain domain and diversity-aversion in the loss domain, regardless of cognitive thinking style. However, in cases where one alternative (...) normatively dominated the other, participants high in deliberative thinking style were more calibrated to normative behavior, regardless of whether their intuitive tendency preference and the normative solution were contradictory or pointed in the same direction. Our findings support a model in which deliberative but not intuitive thinking style is the crucial predictor of rational behavior, since it enables people to better adjust their intuitive preference anchor when normative considerations require doing so. (shrink)

We propose a neural model of multiattribute-decision processes, based on an attractor neural network with dynamic thresholds. The model may be viewed as a generalization of the elimination by aspects model, whereby simultaneous selection of several aspects is allowed. Depending on the amount of synaptic inhibition, various kinds of scanning strategies may be performed, leading in some cases to vacillations among the alternatives. The model predicts that decisions of a longer time duration exhibit a lower violation of the simple scalability (...) law, as opposed to shorter decisions. Furthermore, the model is suggested as a general attribute-based decision module. Accordingly, various decision strategies are manifested depending on the module's parameters. (shrink)