Pierson Emma, Goodman Noah
Department of Computer Science, Stanford University, Stanford, California, United States of America.
Department of Psychology, Stanford University, Stanford, California, United States of America.
PLoS One. 2014 Nov 26;9(11):e113342. doi: 10.1371/journal.pone.0113342. eCollection 2014.
Classical decision theory predicts that people should be indifferent to information that is not useful for making decisions, but this model often fails to describe human behavior. Here we investigate one such scenario, where people desire information about whether an event (the gain/loss of money) will occur even though there is no obvious decision to be made on the basis of this information. We find a curious dual trend: if information is costless, as the probability of the event increases people want the information more; if information is not costless, people's desire for the information peaks at an intermediate probability. People also want information more as the importance of the event increases, and less as the cost of the information increases. We propose a model that explains these results, based on the assumption that people have limited cognitive resources and obtain information about which events will occur so they can determine whether to expend effort planning for them.
经典决策理论预测,人们应该对决策无用的信息无动于衷,但该模型往往无法描述人类行为。在此,我们研究了这样一种情况:人们渴望获得有关某事件(金钱的得失)是否会发生的信息,即使基于此信息并无明显决策可做。我们发现了一个奇特的双重趋势:如果信息是无成本的,随着事件发生概率的增加,人们对信息的需求也会增加;如果信息不是无成本的,人们对信息的需求在中等概率时达到峰值。随着事件重要性的增加,人们对信息的需求也会增加,而随着信息成本的增加,需求则会减少。我们基于这样的假设提出了一个解释这些结果的模型:人们的认知资源有限,会获取有关哪些事件将会发生的信息,以便确定是否要花费精力为这些事件做准备。