人类多任务处理
心理信息
构造(python库)
工作记忆
心理学
认知
任务切换
差异(会计)
结构方程建模
认知心理学
验证性因素分析
任务(项目管理)
执行职能
发展心理学
计算机科学
工程类
神经科学
机器学习
梅德林
业务
系统工程
法学
程序设计语言
会计
政治学
作者
Thomas S. Redick,Zach Shipstead,Matthew E. Meier,Janelle J. Montroy,Kenny L. Hicks,Nash Unsworth,Michael J. Kane,David Z. Hambrick,Randall W. Engle
摘要
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. (PsycINFO Database Record
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