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重新审视开放式采样格式:通过新颖的图形表示改进风险选择。

Revisiting the Open Sampling format: Improving risky choices through a novel graphical representation.

机构信息

Social Psychology and Decision Sciences, University of Konstanz, P.O. Box 43, 78457, Konstanz, Germany.

Graduate School of Decision Sciences, University of Konstanz, Konstanz, Germany.

出版信息

Psychon Bull Rev. 2022 Apr;29(2):648-659. doi: 10.3758/s13423-021-02018-4. Epub 2021 Nov 3.

Abstract

When making risky choices, people often fall short of the norm of expected value (EV) maximization. Previous research has shown that presenting options in the Open Sampling (OSa) format, a 10-by-10 matrix of randomly arranged outcomes, can improve choices and reduce decision times. First, the current research aims to replicate and extend the findings on the OSa format. To this end, we compare OSa to the common description-based format as well as further graphical representations, and investigate the resulting accordance with EV maximization and decision time. Second, we study whether people lower (vs. higher) in numeracy, the ability to use probabilistic and mathematical concepts, particularly benefit from a graphical representation of options. We conducted five high-powered studies (total N = 1,575) in which participants chose repeatedly between two risky gambles, using different populations and gamble-problem sets. Overall, we could not find a benefit of the OSa format in terms of EV accordance in any of the five studies. However, three studies also tested a novel variant of the OSa format with grouped outcomes and found that it consistently improved EV accordance compared with all other formats. All graphical formats led to faster decisions without harming decision quality. The effects of presentation format were not moderated by numeracy in three of the four studies that assessed numeracy. In conclusion, our research introduces a new presentation format which consistently improves risky choices and can also be used to communicate risks in applied contexts such as medical decision making.

摘要

当人们做出有风险的选择时,往往不符合期望价值最大化的规范。之前的研究表明,以开放式抽样(OSa)格式呈现选项,即 10x10 的随机排列结果矩阵,可以改善选择并减少决策时间。首先,本研究旨在复制和扩展 OSa 格式的研究结果。为此,我们将 OSa 与常见的基于描述的格式以及进一步的图形表示进行了比较,并调查了与 EV 最大化和决策时间的一致性。其次,我们研究了在数字能力(即使用概率和数学概念的能力)较低(相对于较高)的人群中,是否特别受益于选项的图形表示。我们进行了五项高影响力的研究(共 1575 名参与者),参与者在两个有风险的赌博之间反复选择,使用不同的人群和赌博问题集。总体而言,我们在五项研究中均未发现 OSa 格式在 EV 一致性方面的优势。然而,三项研究还测试了一种新的分组结果 OSa 格式变体,发现与所有其他格式相比,它始终能提高 EV 一致性。所有图形格式都加快了决策速度,而不会损害决策质量。在评估数字能力的四项研究中有三项研究中,展示格式的效果不受数字能力的调节。总之,我们的研究引入了一种新的展示格式,它可以一致地改善风险选择,也可以用于在医学决策等应用环境中传达风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7786/9038808/bcc75a678119/13423_2021_2018_Fig1_HTML.jpg

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