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Adaptive design for systems factorial technology experiments

机译:系统阶乘技术实验的自适应设计

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摘要

Systems factorial technology (SFT) is a powerful framework for examining how people use multiple sources of information together. Unfortunately, it is often difficult to apply. Appropriate manipulation of the salience of each source of information is critical to assessing processing characteristics so a significant amount of time can be spent piloting to determine the correct levels. Even with piloting, some participants' data ends up unusable due to individual differences. We first examine the use of an accuracy-only adaptation for stimulus levels, based on the Psi method. In some cases a focus entirely on accuracy may be insufficient, particularly given that response time (RT) is the primary measure with SFT. Hence, we also introduce an approach to adapting stimulus levels for each individual participant's joint accuracy and RT. This will increase the likelihood that salience manipulations will be effective and that a participant's data will be usable. (C) 2019 Elsevier Inc. All rights reserved.
机译:系统因子技术(SFT)是一个强大的框架,用于检查人们如何将多个信息源一起使用。不幸的是,通常很难申请。适当操纵每个信息源的显着性对于评估处理特征至关重要,因此可以花费大量时间来试用以确定正确的水平。即使在驾驶中,一些参与者的数据也会由于个体差异而最终无法使用。我们首先要根据PSI方法检查仅使用仅适用于刺激水平的刺激水平。在某些情况下,完全对精度的重点可能不足,特别是响应时间(RT)是SFT的主要测量。因此,我们还介绍了一种适应每个人参与者的联合准确性和室温的刺激水平的方法。这将增加Parience操纵将有效的可能性,并且参与者的数据将是可用的。 (c)2019 Elsevier Inc.保留所有权利。

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