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首页> 外文期刊>Nonlinear dynamics, psychology and life sciences >New Paradigm for Task Switching Strategies While Performing Multiple Tasks: Entropy and Symbolic Dynamics Analysis of Voluntary Patterns
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New Paradigm for Task Switching Strategies While Performing Multiple Tasks: Entropy and Symbolic Dynamics Analysis of Voluntary Patterns

机译：执行多个任务时任务切换策略的新范式：自愿模式的熵和符号动力学分析

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It has become well established in laboratory experiments that switching tasks, perhaps due to interruptions at work, incur costs in response time to complete the next task. Conditions are also known that exaggerate or lessen the switching costs. Although switching costs can contribute to fatigue, task switching can also be an adaptive response to fatigue. The present study introduces a new research paradigm for studying the emergence of voluntary task switching regimes, self-organizing processes therein, and the possibly conflicting roles of switching costs and minimum entropy. Fifty-four undergraduates performed 7 different computer-based cognitive tasks producing sets of 49 responses under instructional conditions requiring task quotas or no quotas. The sequences of task choices were analyzed using orbital decomposition to extract pattern types and lengths, which were then classified and compared with regard to Shannon entropy, topological entropy, number of task switches involved, and overall performance. Results indicated that similar but different patterns were generated under the two instructional conditions, and better performance was associated with lower topological entropy. Both entropy metrics were associated with the amount of voluntary task switching. Future research should explore conditions affecting the trade-off between switching costs and entropy, levels of automaticity between task elements, and the role of voluntary switching regimes on fatigue.
机译：在实验室实验中已经确定，切换任务（可能是由于工作中断）会花费响应时间来完成下一个任务。还已知有夸大或降低切换成本的条件。尽管转换成本会导致疲劳，但任务转换也可以是对疲劳的适应性响应。本研究引入了一种新的研究范式，用于研究自愿任务转换机制的出现，其中的自组织过程以及转换成本和最小熵的可能冲突的作用。 54名大学生在要求任务配额或无配额的教学条件下，执行了7种不同的基于计算机的认知任务，生成了49组响应。使用轨道分解对任务选择的顺序进行了分析，以提取模式类型和长度，然后对其进行分类并就香农熵，拓扑熵，涉及的任务转换数量和总体性能进行比较。结果表明，在两种教学条件下会生成相似但不同的模式，并且更好的性能与较低的拓扑熵有关。两种熵指标都与自愿任务转换的数量有关。未来的研究应探索影响转换成本与熵之间的权衡，任务要素之间的自动化程度以及自愿转换制度对疲劳的作用的条件。

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