ANALYSIS OF REACTION TIMES USING SCHEDULING THEORY

假设执行了一些不可观察的进程来执行 信息处理任务。这项研究是关于一种推论的方法 从精确度和完成时间的角度组织流程 各种条件下的任务。该方法结合了加法器的思想 因子法和调度理论，适用于涉及的任务 顺序进程和并发进程的混合体。Stroop任务和 用该方法对字母命名任务进行分析。有证据表明 在每个任务中，进程被安排在一个关键路径网络中。 我计划对这个想法做进一步的测试，并发现更多关于 为每项任务建立网络。关于斯特鲁普效应的实验将考虑一个 在先前的实验中留下的问题，即受试者是否可以携带 在一定条件下同时做出两个决定。 提出了将加性因子法推广到精度数据的方法。 实验因素对概率对数的影响 考虑正确的响应。预计这些影响将是相加的。 在某些情况下。换句话说，加性因子的模拟 方法对于对数概率校正数据是可能的。关于字母的实验 提出了使用该过程的命名和颜色命名。

Supposer a number of unobservable processes are executed to performa an information processing task. This research is on a method for deducing the organization of the processes from the accuracy and completion time of the task under various conditions. The method combines ideas from the additive factor method and the theory of scheduling, and applies to tasks involving a mixture of sequential and concurrent processes. A Stroop task and a letter naming task will be analyzed with the method. There is evidence that in each task, the processes are arranged in a critical path network. I plan to do further tests of this idea and to discover more details of the network for each task. The experiment on the Stroop effect will consider a question left open in a previous experiment, whether a subject can carry out two decisions concurrently under certain conditions. An extension of the additive factor method to accuracy data is proposed. The effects of experimental factors on the log of the probability of a correct response are considered. The effects are expected to be additive under certain conditions. In other words, an analog of the additive factor method is possible for log probability correct data. Experiments on letter naming and color naming using this procedure are proposed.