预测交替运行和随机任务切换序列在辅音-母音/奇偶任务中产生分离式切换成本
Nicholas P Maxwell1, Mark J Huff2, Jacob M Namias2
1Midwestern State University, 3410, Taft Blvd, Wichita Falls, TX, 76308, USA. nicholas.maxwell@msutexas.edu.
Cognitive processing
|October 25, 2024
概括
预测性任务切换通过降低本地成本来提高性能,而随机切换则增加了这些成本. 这突出了可预测的序列如何影响任务集重新配置和工作记忆中的维护的差异.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
背景情况:
- 任务切换范式对于理解工作记忆和注意力控制至关重要.
- 序列可预测性影响认知控制和任务执行.
研究的目的:
- 为了比较预测性与非预测性任务序列对任务切换性能的影响.
- 调查序列可预测性如何影响认知任务中的本地和全球交换机成本.
主要方法:
- 参与者在纯粹的,可预测的交换机和随机交换机块中执行了辅音-母音/奇偶 (CVOE) 任务.
- 分析了错误率和响应时间 (RTs),专注于本地 (交换机与非交换机) 和全球 (非交换机与纯) 成本.
主要成果:
- 在预测和随机切换条件下,平均错误率和RT是相似的.
- RT转换成本分离:随机转换增加了本地成本,而预测性转换增加了全球成本.
结论:
- 随机切换增强了由于不可预测性的任务集重新配置需求.
- 预测切换会损害任务集的维护,因为这两个任务都必须存储在工作内存中.
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