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Efficient multitasking: parallel versus serial processing of multiple tasks

机译:高效的多任务处理:多个任务的并行处理与串行处理

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In the context of performance optimizations in multitasking, a central debate has unfolded in multitasking research around whether cognitive processes related to different tasks proceed only sequentially (one at a time), or can operate in parallel (simultaneously). This review features a discussion of theoretical considerations and empirical evidence regarding parallel versus serial task processing in multitasking. In addition, we highlight how methodological differences and theoretical conceptions determine the extent to which parallel processing in multitasking can be detected, to guide their employment in future research. Parallel and serial processing of multiple tasks are not mutually exclusive. Therefore, questions focusing exclusively on either task-processing mode are too simplified. We review empirical evidence and demonstrate that shifting between more parallel and more serial task processing critically depends on the conditions under which multiple tasks are performed. We conclude that efficient multitasking is reflected by the ability of individuals to adjust multitasking performance to environmental demands by flexibly shifting between different processing strategies of multiple task-component scheduling.
机译:在多任务处理中的性能优化方面,关于多任务处理的认知过程是围绕不同任务的认知过程是仅顺序进行(一次)还是并行(同时)进行,因此引起了广泛的争议。这篇综述着重讨论了多任务处理中并行任务与串行任务处理的理论考虑和经验证据。此外,我们重点介绍了方法上的差异和理论概念如何确定可检测多任务并行处理的程度,以指导其在未来研究中的应用。多个任务的并行和串行处理不是互斥的。因此,过于专注于任一种任务处理模式的问题就被简化了。我们回顾了经验证据,并证明在更多并行和更多串行任务处理之间的转换主要取决于执行多个任务的条件。我们得出结论,有效的多任务处理是个人通过在多个任务组件调度的不同处理策略之间灵活切换来适应环境需求调整多任务处理性能的能力所反映的。

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