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Speeded multielement decision-making as diffusion in a hypersphere: Theory and application to double-target detection

机译:超速的多元思决策作为低间断的扩散:理论和应用于双目标检测

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摘要

We generalize the circular 2D diffusion model of Smith (Psychological Review, 123, 425-451: 2016) to provide a new model of speeded decision-making in multielement visual displays. We model decision-making in tasks with multielement displays as evidence accumulation by a vector-valued diffusion process in a hypersphere, whose radius represents the decision criterion for the task. We show that the methods used to derive response time and accuracy predictions for the 2D model can be applied, with only minor changes, to predict performance in higher-dimensional spaces as well. We apply the model to the double-target deficit paradigm of Duncan (Psychological Review, 87, 272-300: 1980) in which participants judge whether briefly presented four-element displays contain one- or two-digit targets among letter distractors. A 4D version of the hyperspherical diffusion model correctly predicted distributions of response times and response accuracy as a function of task difficulty in single-target and double-target versions of the task. The estimated drift rate parameters from the model imply that the mental representation of the decision alternatives, which we term the "decision template" for the task, encodes configural stimulus properties that reflect the number of targets in the display. Along with its application to multielement decision-making, the model has the potential to characterize the speed and accuracy of multiattribute decisions in studies of cognitive categorization, visual attention, and other areas.
机译:我们概括了史密斯的圆形2D扩散模型(心理审查,123,425-451:2016),提供了一种在多元视觉显示中的速度决策的新模型。我们使用多元素的任务模式制定决策作为超大的矢量值扩散过程作为证据累积,其半径表示任务的决策标准。我们表明,可以应用用于推出2D模型的响应时间和准确性预测的方法,只有轻微的变化,也可以在高维空间中预测性能。我们将该模型应用于Duncan的双目标赤字范例(心理审查,87,272-300:1980),其中参与者判断简要呈现的四元素显示器是否包含信件分散组中的一个或两位数目标。作为任务和双目标版本的任务难度的任务难度的函数正确地预测响应时间和响应准确性的响应时间和响应准确性的4D版本。来自模型的估计漂移率参数意味着决策替代品的心理表示,我们术语“决定模板”为任务,编码反映显示器中的目标数量的配置刺激属性。随着其应用于多元首决策的应用,该模型有可能在认知分类,视觉关注和其他区域的研究中表征多元决策的速度和准确性。

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