ANALYSIS OF REACTION TIMES USING SCHEDULING THEORY

假设执行了许多不可观察的过程来执行一个 信息处理任务。 本研究是关于一种推导 从过程的准确性和完成时间的组织， 各种条件下的任务。 该方法结合了添加剂的想法， 因素法和调度理论，并适用于任务， 顺序和并发过程的混合。 Stroop任务和 用该方法对字母命名任务进行分析。 有证据 在每一个任务中，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，并发现更多的细节。 网络对于每一个任务 关于Stroop效应的实验将考虑一个 在之前的实验中留下的一个问题，一个受试者是否可以携带 在一定条件下，同时做出两个决定。 提出了一种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 正确的答案是考虑。 预计这些影响是叠加的 在某些条件下。 换句话说， 方法是可能的日志概率正确的数据。 字母实验 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.