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首页> 外文期刊>Current directions in psychological science: a journal of the American Psychological Society >Modeling Regularities in Response Time and Accuracy Data With the Diffusion Model
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Modeling Regularities in Response Time and Accuracy Data With the Diffusion Model

机译：使用扩散模型对响应时间和准确性数据中的规律性进行建模

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摘要

Diffusion models for simple two-choice decision making have achieved prominence in psychology and neuroscience. The standard model views decision making as a process in which noisy evidence is accumulated until one of the two response criteria is reached, at which point the associated response is made. The criteria represent the amount of evidence needed to make a decision, and they reflect the decision maker's response biases and speed-accuracy trade-off settings. In this article, we review the regularities in experimental data that a model must explain. These include the relation between accuracy and mean response times, the shapes of response-time distributions for correct and error responses and how they change with experimental variables, and individual differences in response time and accuracy. These relations are sometimes overlooked by researchers, but, taken together, they provide extremely strong tests of models.
机译：用于简单的二选决策的扩散模型在心理学和神经科学领域已取得显著成就。标准模型将决策制定视为一个过程，在此过程中会累积嘈杂的证据，直到达到两个响应标准之一为止，然后做出相关的响应。该标准表示做出决策所需的证据量，并且反映了决策者的响应偏差和速度准确性权衡设置。在本文中，我们回顾了模型必须解释的实验数据的规律性。其中包括准确性和平均响应时间之间的关系，正确和错误响应的响应时间分布形状以及它们随实验变量的变化方式，以及响应时间和准确性的个体差异。这些关系有时会被研究人员所忽视，但是加在一起，它们为模型提供了非常强大的测试。

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