Department of Psychology, Vanderbilt University, Nashville, TN 37203, USA.
Psychol Rev. 2012 Apr;119(2):272-303. doi: 10.1037/a0026620. Epub 2012 Jan 9.
The present study proposes and examines the multidimensional vector (MDV) model framework as a modeling schema for choice response times. MDV extends the Thurstonian model, as well as signal detection theory, to classification tasks by taking into account the influence of response properties on stimulus discrimination. It is capable of accounting for stimulus-response compatibility, which is known to be an influential task variable determining choice-reaction performance but has not been considered in previous mathematical modeling efforts. Specific MDV models were developed for 5 experiments using the Simon task, for which stimulus location is task irrelevant, to examine the validity of model assumptions and illustrate characteristic behaviors of model parameters. The MDV models accounted for the experimental data to a remarkable degree, demonstrating the adequacy of the framework as a general schema for modeling the latency of choice performance. Some modeling issues involved in the MDV model framework are discussed.
本研究提出并检验了多维向量 (MDV) 模型框架，作为选择反应时的建模方案。MDV 通过考虑响应属性对刺激辨别力的影响，将 Thurstonian 模型和信号检测理论扩展到分类任务中。它能够解释刺激-反应相容性，这是一个已知的影响任务变量，决定了选择-反应性能，但在以前的数学建模工作中没有被考虑。针对使用 Simon 任务的 5 个实验，开发了特定的 MDV 模型，其中刺激位置与任务无关，以检验模型假设的有效性，并说明模型参数的特征行为。MDV 模型非常好地解释了实验数据，证明了该框架作为建模选择性能潜伏期的一般方案的充分性。讨论了 MDV 模型框架中涉及的一些建模问题。
