Prospect theory reflects selective allocation of attention.

损失厌恶 结果(博弈论) 心理学 加权 前景理论 信息处理 累积前景理论 认知心理学 社会心理学 计量经济学 经济 微观经济学 医学 放射科
作者
Thorsten Pachur,Michael Schulte‐Mecklenbeck,Ryan O. Murphy,Ralph Hertwig
出处
期刊:Journal of Experimental Psychology: General 卷期号:147 (2): 147-169 被引量:90
标识
DOI:10.1037/xge0000406
摘要

There is a disconnect in the literature between analyses of risky choice based on cumulative prospect theory (CPT) and work on predecisional information processing.One likely reason is that for expectation models (e.g., CPT), it is often assumed that people behaved only as if they conducted the computations leading to the predicted choice and that the models are thus mute regarding information processing.We suggest that key psychological constructs in CPT, such as loss aversion and outcome and probability sensitivity, can be interpreted in terms of attention allocation.In two experiments, we tested hypotheses about specific links between CPT parameters and attentional regularities.Experiment 1 used process tracing to monitor participants' predecisional attention allocation to outcome and probability information.As hypothesized, individual differences in CPT's loss-aversion, outcome-sensitivity, and probability-sensitivity parameters (estimated from participants' choices) were systematically associated with individual differences in attention allocation to outcome and probability information.For instance, loss aversion was associated with the relative attention allocated to loss and gain outcomes, and a more strongly curved weighting function was associated with less attention allocated to probabilities.Experiment 2 manipulated participants' attention to losses or gains, causing systematic differences in CPT's loss-aversion parameter.This result indicates that attention allocation can to some extent cause choice regularities that are captured by CPT.Our findings demonstrate an as-if model's capacity to reflect characteristics of information processing.We suggest that the observed CPT-attention links can be harnessed to inform the development of process models of risky choice.

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