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首页> 外文期刊>Journal of Experimental Psychology. General >Cognitive Predictors of a Common Multitasking Ability: Contributions From Working Memory, Attention Control, and Fluid Intelligence
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Cognitive Predictors of a Common Multitasking Ability: Contributions From Working Memory, Attention Control, and Fluid Intelligence

机译:常见多任务处理能力的认知预测因子:工作记忆,注意力控制和流体智力的贡献

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Previous research has identified several cognitive abilities that are important for multitasking, but few studies have attempted to measure a general multitasking ability using a diverse set of multitasks. In the final dataset, 534 young adult subjects completed measures of working memory (WM), attention control, fluid intelligence, and multitasking. Correlations, hierarchical regression analyses, confirmatory factor analyses, structural equation models, and relative weight analyses revealed several key findings. First, although the complex tasks used to assess multitasking differed greatly in their task characteristics and demands, a coherent construct specific to multitasking ability was identified. Second, the cognitive ability predictors accounted for substantial variance in the general multitasking construct, with WM and fluid intelligence accounting for the most multitasking variance compared to attention control. Third, the magnitude of the relationships among the cognitive abilities and multitasking varied as a function of the complexity and structure of the various multitasks assessed. Finally, structural equation models based on a multifaceted model of WM indicated that attention control and capacity fully mediated the WM and multitasking relationship.
机译:先前的研究已经确定了对多任务处理很重要的几种认知能力,但是很少有研究尝试使用一组多样化的多任务来衡量一般的多任务处理能力。在最终数据集中,有534位年轻的成年人受试者完成了工作记忆(WM),注意力控制,体液智力和多任务处理的测量。相关性,层次回归分析,验证性因子分析,结构方程模型和相对权重分析揭示了几个关键发现。首先,尽管用于评估多任务的复杂任务在其任务特征和要求方面存在很大差异,但已确定了一种针对多任务能力的连贯结构。其次,认知能力预测因子在一般的多任务处理结构中占很大的差异,与注意力控制相比,WM和流体智力占了多任务处理差异最大。第三,认知能力和多任务处理之间的关系的大小随所评估的各种多任务处理的复杂性和结构而变化。最后,基于WM多方面模型的结构方程模型表明,注意力控制和能力完全介导了WM和多任务关系。

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