Suppr超能文献

任务规则和刺激-反应映射在任务转换范式中的作用。

The role of task rules and stimulus-response mappings in the task switching paradigm.

作者信息

Dreisbach Gesine, Goschke Thomas, Haider Hilde

机构信息

Institute of Psychology I, Dresden University of Technology, 01062 Dresden, Germany.

出版信息

Psychol Res. 2007 Jul;71(4):383-92. doi: 10.1007/s00426-005-0041-3. Epub 2006 Jan 6.

Abstract

Switch costs occur whenever participants are asked to switch between two or more task sets. In a typical task switching experiment, participants have to switch between two task sets composed of up to four different stimuli per task set. These 2 (task sets) x 4 (stimuli) contain only 8 different stimulus-response (S-R) mappings, and the question is why participants base their task performance on task sets instead of S-R mappings. The current experiments compared task performance based on task rules with performance based on single stimulus-response mappings. Participants were led to learn eight different S-R mappings with or without fore-knowledge about two underlying task sets. Without task set information no difference between shifts and repetitions occurred, whereas introducing task sets at the beginning led to significant switch costs. Most importantly, introducing task sets in the middle of the experiment also resulted in significant switch costs. Furthermore, introducing task rules at the beginning of the experiment lead to slower RTs when simple stimuli (Experiment 1) had to be processed. This detrimental effect disappeared with more complex stimuli (Experiment 2). Results will be discussed with respect to cognitive control.

摘要

每当要求参与者在两个或更多任务集之间进行切换时,就会产生切换成本。在典型的任务切换实验中,参与者必须在两个任务集之间进行切换,每个任务集包含多达四种不同的刺激。这2(任务集)×4(刺激)仅包含8种不同的刺激-反应(S-R)映射,问题在于为什么参与者基于任务集而不是S-R映射来进行任务表现。当前的实验比较了基于任务规则的任务表现和基于单个刺激-反应映射的表现。参与者被引导去学习八种不同的S-R映射,有无关于两个潜在任务集的预先知识。没有任务集信息时,切换和重复之间没有差异,而在开始时引入任务集会导致显著的切换成本。最重要的是,在实验中间引入任务集也会导致显著的切换成本。此外,在实验开始时引入任务规则会导致在必须处理简单刺激时反应时间变慢(实验1)。随着刺激变得更复杂,这种不利影响消失了(实验2)。将从认知控制的角度讨论结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验