A response-time approach to comparing generalized rational and take-the-best models of decision making
A response-time approach to comparing generalized rational and take-the-best models of decision making
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DOI：
10.1037/0278-7393.33.1.107
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发表时间：
2007-01-01
影响因子：
2.6
通讯作者：
Nosofsky, Robert M.
中科院分区：
文献类型：
--
作者：
Bergert, F. Bryan;Nosofsky, Robert M.
作者开发并测试了多属性配对比较推理的最佳（TTB）和理性（RAT）模型的广义版本。广义模型，允许主观属性加权，属性检查的概率顺序，和噪声决策。一个关键的新测试涉及响应时间（RT）方法。TTB预测RT仅由定位第一个区分属性所需的预期时间决定，而RAT预测RT由2个备选项之间的汇总证据的差异决定。关键的测试对使用部分解耦这2个因素。在理想观察者TTB和RAT策略产生等效决策的条件下。RT结果和估计的属性权重都表明，绝大多数受试者采用了广义TTB策略。RT方法也在实验条件下进行了验证，其中RAT策略的使用基本上是强加给受试者的。
The authors develop and test generalized versions of take-the-best (TTB) and rational (RAT) models of multiattribute paired-comparison inference. The generalized model,,, make allowances for subjective attribute weighting, probabilistic orders of attribute inspection, and noisy decision making. A key new test involves a response-time (RT) approach. TTB predicts that RT is determined solely by the expected time required to locate the 1st discriminating attribute, whereas RAT predicts that RT is determined by the difference in summed evidence between the 2 alternatives. Critical test pairs are used that partially decouple these 2 factors. Under conditions in which ideal observer TTB and RAT strategies yield equivalent decisions. both the RT results and the estimated attribute weights suggest that the vast majority of subjects adopted the generalized TTB strategy. The RT approach is also validated in an experimental condition in which use of a RAT strategy is essentially forced upon subjects.