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主观(不)努力效用:脑力和体力要求高的任务。

Subjective (dis)utility of effort: mentally and physically demanding tasks.

机构信息

School of Psychology, Georgia Institute of Technology, 654 Cherry Street, MC 0170, Atlanta, GA, 30332-0170, USA.

出版信息

Cogn Res Princ Implic. 2020 Jun 5;5(1):26. doi: 10.1186/s41235-020-00226-5.

DOI:10.1186/s41235-020-00226-5
PMID:32504129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7275105/
Abstract

Effort as a concept, whether momentary, sustained, or as a function of different task conditions, is of critical importance to resource theories of attention, fatigue/boredom, workplace motivation, career selection, performance, job incentives, and other applied psychology concerns. Various models of motivation suggest that there is an inverted-U-shaped function describing the personal utility of effort, but there are expected to be individual differences in the optimal levels of effort that also are related to specific domain preferences. The current study assessed the disutility of effort for 125 different tasks/activities and also explored individual differences correlates of task preferences, in a sample of 77 undergraduate participants. The participants rated each activity in terms of the amount of compensation they would require to perform the task for a period of 4 h. They also completed paired comparisons for a subset of 24 items, followed by a set of preference judgments. Multidimensional scaling and preference scaling techniques were used to determine individual differences in task preference. Personality, motivation, and interest traits were shown to be substantially related to task preferences. Implications for understanding which individuals are oriented toward or away from tasks with different effort demands are discussed, along with considerations for the dynamics of attentional effort allocations during task performance.

摘要

努力作为一个概念,无论是短暂的、持续的,还是作为不同任务条件的函数,对于注意的资源理论、疲劳/无聊、工作场所动机、职业选择、绩效、工作激励以及其他应用心理学问题都至关重要。各种动机模型表明,存在一个倒 U 形函数来描述努力的个人效用,但预计努力的最佳水平会存在个体差异,并且与特定领域的偏好有关。本研究在 77 名本科生样本中评估了 125 种不同任务/活动的努力的负效用,还探索了与任务偏好相关的个体差异的相关性。参与者根据完成任务 4 小时所需的补偿金额来评估每项活动。他们还对一组 24 个项目中的子集进行了配对比较,然后进行了一组偏好判断。多维尺度和偏好标度技术用于确定任务偏好的个体差异。人格、动机和兴趣特征与任务偏好有很大关系。讨论了理解哪些个体倾向于或远离具有不同努力要求的任务的意义,以及在任务执行过程中注意努力分配的动态性的考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/a4f7fe8e75a7/41235_2020_226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/7ab458c901ff/41235_2020_226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/63a99c3d0af2/41235_2020_226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/a4f7fe8e75a7/41235_2020_226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/7ab458c901ff/41235_2020_226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/63a99c3d0af2/41235_2020_226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5098/7275105/a4f7fe8e75a7/41235_2020_226_Fig3_HTML.jpg

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