Affective Brain Lab, Department of Experimental Psychology, University College London, London, UK.
Harvard Law School, Harvard University, Cambridge, MA, USA.
Nat Hum Behav. 2020 Jan;4(1):14-19. doi: 10.1038/s41562-019-0793-1. Epub 2020 Jan 13.
Immense amounts of information are now accessible to people, including information that bears on their past, present and future. An important research challenge is to determine how people decide to seek or avoid information. Here we propose a framework of information-seeking that aims to integrate the diverse motives that drive information-seeking and its avoidance. Our framework rests on the idea that information can alter people's action, affect and cognition in both positive and negative ways. The suggestion is that people assess these influences and integrate them into a calculation of the value of information that leads to information-seeking or avoidance. The theory offers a framework for characterizing and quantifying individual differences in information-seeking, which we hypothesize may also be diagnostic of mental health. We consider biases that can lead to both insufficient and excessive information-seeking. We also discuss how the framework can help government agencies to assess the welfare effects of mandatory information disclosure.
现在人们可以获取大量信息,包括与他们过去、现在和未来有关的信息。一个重要的研究挑战是确定人们如何决定寻求或避免信息。在这里,我们提出了一个信息搜索框架,旨在整合驱动信息搜索和回避的各种动机。我们的框架基于这样一种观点,即信息可以以积极和消极的方式改变人们的行为、影响和认知。这意味着人们会评估这些影响,并将其纳入对信息价值的计算中,从而导致信息的寻求或回避。该理论为描述和量化信息搜索中的个体差异提供了一个框架,我们假设这也可能是心理健康的诊断依据。我们考虑了可能导致信息搜索不足和过度的偏见。我们还讨论了该框架如何帮助政府机构评估强制性信息披露的福利影响。