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在决定切换任务时平衡认知和环境限制:探索自我组织多任务处理中自我报告的任务选择策略

Balancing cognitive and environmental constraints when deciding to switch tasks: Exploring self-reported task-selection strategies in self-organised multitasking.

作者信息

Mittelstädt Victor, Schaffernak Insa, Miller Jeff, Kiesel Andrea

机构信息

Department of Psychology, University of Tübingen, Tübingen, Germany.

University of Freiburg, Freiburg, Germany.

出版信息

Q J Exp Psychol (Hove). 2021 Apr;74(4):598-609. doi: 10.1177/1747021820970079. Epub 2020 Nov 12.

Abstract

We investigated how people balance cognitive constraints (switch costs) against environmental constraints (stimulus availabilities) to optimise their voluntary task switching performance and explored individual differences in their switching behaviour. Specifically, in a self-organised task-switching environment, the stimulus needed for a task repetition was delayed by a stimulus-onset asynchrony (SOA) that increased with each consecutive repetition until a task switch reset the SOA. As predicted, participants switched tasks when the SOA in task switches approximately matched their individual switch costs and thus they optimised local task performance. Interestingly, self-reports (confirmed by behavioural switching patterns) revealed two individual strategies: some participants ( = 34) indicated to guide their task selection behaviour based on preplanned task sequences over several trials, whereas others ( = 42) indicated to primarily decide on a trial-by-trial basis whether to switch or to repeat tasks. Exploration of switching behaviour based on the two strategy groups revealed additional insights into how people achieved adaptive task selection behaviour in this task environment. Overall, the present findings suggest that individuals select tasks with the aim of improving task performance when dealing with multiple task requirements, but they differ in their preferred individual task selection strategies.

摘要

我们研究了人们如何在认知限制(切换成本)和环境限制(刺激可用性)之间取得平衡,以优化他们的自愿任务切换表现,并探讨了他们在切换行为上的个体差异。具体而言,在一个自组织的任务切换环境中,任务重复所需的刺激会被一个刺激起始异步(SOA)延迟,该延迟会随着每次连续重复而增加,直到任务切换重置SOA。正如预测的那样,当任务切换中的SOA大致与他们的个体切换成本相匹配时,参与者会切换任务,从而优化局部任务表现。有趣的是,自我报告(由行为切换模式证实)揭示了两种个体策略:一些参与者(n = 34)表示会基于几个试验中的预先计划好的任务序列来指导他们的任务选择行为,而另一些参与者(n = 42)则表示主要在逐个试验的基础上决定是切换还是重复任务。基于这两个策略组对切换行为的探索揭示了关于人们如何在这个任务环境中实现适应性任务选择行为的更多见解。总体而言,目前的研究结果表明,个体在处理多个任务要求时会以提高任务表现为目标来选择任务,但他们在偏好的个体任务选择策略上存在差异。

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