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在多任务环境中,作为单个任务回报函数的努力分配。

Allocation of effort as a function of payoffs for individual tasks in a multitasking environment.

作者信息

Wang Dongyuan Debbie, Proctor Robert W, Pick David F

机构信息

University of North Florida, Jacksonville, Florida 32224, USA.

出版信息

Behav Res Methods. 2009 Aug;41(3):705-16. doi: 10.3758/BRM.41.3.705.

Abstract

SYNWORK1 software allows the examination of how payoffs affect the allocation of effort by people when they perform four different tasks (memory search, arithmetic, visual monitoring, and auditory monitoring). In a previous study (Wang, Proctor, & Pick, 2007), we showed that participants adopted multitasking strategies allocating relative effort appropriate to payoff differences between the arithmetic and memory tasks, but that they exhibited residual effects of prior payoffs when the payoffs were switched. In the present study, we varied the payoff in two different experiments for only one of these tasks, the memory task in Experiment 1 and the arithmetic task in Experiment 2. Doing this allowed consideration of performance for both the task for which payoff changed explicitly and the other cognitive task, for which the payoff difference was implicit (i.e., relative to the explicit payoff that was manipulated). Although participants adjusted performance on the task for which the payoff explicitly varied, the payoff manipulation had less effect than did the explicit payoff manipulations for both tasks used previously. Also, the change in effort on a task resulting from explicitly increasing its payoff was less than that from decreasing the payoff. SYNWORK1 is a good environment for studying multitasking, but has several limitations that need to be addressed to provide a synthetic work environment that allows investigation of a wider range of theoretically relevant issues.

摘要

SYNWORK1软件能够考察在人们执行四项不同任务(记忆搜索、算术、视觉监控和听觉监控)时,报酬如何影响其努力分配。在之前的一项研究中(Wang、Proctor和Pick,2007),我们发现参与者采用了多任务策略,根据算术任务和记忆任务之间的报酬差异分配相对努力,但当报酬切换时,他们表现出了先前报酬的残留效应。在本研究中,我们在两个不同的实验中仅对其中一项任务的报酬进行了变化,实验1中的记忆任务和实验2中的算术任务。这样做能够考虑报酬明确变化的任务以及另一项认知任务的表现,对于另一项认知任务,报酬差异是隐含的(即相对于被操纵的明确报酬)。尽管参与者调整了报酬明确变化的任务的表现,但报酬操纵的效果比之前使用的两项任务的明确报酬操纵的效果要小。此外,通过明确提高报酬导致的任务努力变化小于降低报酬导致的变化。SYNWORK1是研究多任务的良好环境,但有几个局限性需要解决,以提供一个能够研究更广泛理论相关问题的综合工作环境。

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