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总体上正确,但不精确:学习多个输入和输出之间的关系。

Getting it right generally, but not precisely: learning the relation between multiple inputs and outputs.

机构信息

Department of Psychology, Office of Applied Cognition, Louisiana State University, Baton Rouge, LA 70803, USA.

出版信息

Mem Cognit. 2011 Aug;39(6):1133-45. doi: 10.3758/s13421-011-0079-y.

Abstract

In real-world situations, people are often faced with the complex task of deciding which of many potential variables are affecting their own or others' behavior, as well as noting which specific aspects of behavior are being affected. Although it is common for professionals who encounter such conditions to claim that they acquire accurate and specific knowledge from their experience, it is unclear that such confidence is justified. Using a managerial task, we examined participants' ability to learn how various interventions affect various aspects of their employees' performance. The results of three experiments reveal that although participants appear to avoid prescribing an intervention that has a positive effect on a primary performance measure and a negative side effect on a secondary measure, when asked directly about the impact of the intervention, they respond by reducing their judgments of its positive impact. This was true regardless of whether participants indicated clear knowledge of its negative side effect (Experiment 3) or did not (Experiments 1 and 2). Thus, participants appear to be automatically integrating across the effects on different outcome measures.

摘要

在现实情况下,人们经常面临着复杂的任务,即决定许多潜在变量中哪些变量会影响自己或他人的行为,以及注意到行为的哪些具体方面受到了影响。尽管遇到这种情况的专业人士常声称他们从经验中获得了准确和具体的知识,但这种信心是否合理尚不清楚。我们使用一项管理任务来检验参与者学习各种干预措施如何影响其员工绩效的各个方面的能力。三项实验的结果表明,尽管参与者似乎避免开出一种干预措施,这种干预措施对主要绩效指标有积极影响,但对次要指标有负面影响,但当被直接问及干预措施的影响时,他们会通过降低对其积极影响的判断来做出回应。无论参与者是否清楚地了解其负面影响(实验 3)或不了解(实验 1 和实验 2),情况都是如此。因此,参与者似乎在自动整合不同结果衡量标准的影响。

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