Suppr超能文献

在任务提示实验中的表现是由任务集选择还是联想复合检索介导的?

Is performance in task-cuing experiments mediated by task set selection or associative compound retrieval?

作者信息

Forrest Charlotte L D, Monsell Stephen, McLaren Ian P L

机构信息

School of Psychology, University of Exeter.

出版信息

J Exp Psychol Learn Mem Cogn. 2014 Jul;40(4):1002-24. doi: 10.1037/a0035981. Epub 2014 Feb 24.

Abstract

Task-cuing experiments are usually intended to explore control of task set. But when small stimulus sets are used, they plausibly afford learning of the response associated with a combination of cue and stimulus, without reference to tasks. In 3 experiments we presented the typical trials of a task-cuing experiment: a cue (colored shape) followed, after a short or long interval, by a digit to which 1 of 2 responses was required. In a tasks condition, participants were (as usual) directed to interpret the cue as an instruction to perform either an odd/even or a high/low classification task. In a cue + stimulus → response (CSR) condition, to induce learning of mappings between cue-stimulus compound and response, participants were, in Experiment 1, given standard task instructions and additionally encouraged to learn the CSR mappings; in Experiment 2, informed of all the CSR mappings and asked to learn them, without standard task instructions; in Experiment 3, required to learn the mappings by trial and error. The effects of a task switch, response congruence, preparation, and transfer to a new set of stimuli differed substantially between the conditions in ways indicative of classification according to task rules in the tasks condition, and retrieval of responses specific to stimulus-cue combinations in the CSR conditions. Qualitative features of the latter could be captured by an associative learning network. Hence associatively based compound retrieval can serve as the basis for performance with a small stimulus set. But when organization by tasks is apparent, control via task set selection is the natural and efficient strategy.

摘要

任务提示实验通常旨在探索任务集的控制。但是,当使用小刺激集时,它们可能会促进对与提示和刺激组合相关的反应的学习,而无需参考任务。在3个实验中,我们呈现了任务提示实验的典型试验:一个提示(彩色形状),在短或长的间隔后,接着是一个数字,需要对其做出两种反应之一。在任务条件下,参与者(像往常一样)被指示将提示解释为执行奇/偶或高/低分类任务的指令。在提示+刺激→反应(CSR)条件下,为了诱导对提示-刺激复合物与反应之间映射的学习,在实验1中,参与者被给予标准任务指令,并额外鼓励他们学习CSR映射;在实验2中,被告知所有CSR映射并被要求学习它们,没有标准任务指令;在实验3中,被要求通过试错来学习映射。任务切换、反应一致性、准备状态以及向新刺激集的转移的影响在不同条件之间有很大差异,这些差异表明在任务条件下是根据任务规则进行分类,而在CSR条件下是检索特定于刺激-提示组合的反应。后者的定性特征可以由一个联想学习网络来捕捉。因此,基于联想的复合检索可以作为小刺激集表现的基础。但是,当按任务进行组织很明显时,通过任务集选择进行控制是自然且有效的策略。

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