Suppr超能文献

人们如何处理不同形式的统计信息?对认知努力、表示不一致和个体差异的洞察。

How Do People Process Different Representations of Statistical Information? Insights into Cognitive Effort, Representational Inconsistencies, and Individual Differences.

机构信息

Center for Adaptive Rationality, Max Planck Institute for Human Development, Germany.

Department of Psychology, University of Konstanz, Germany.

出版信息

Med Decis Making. 2023 Oct-Nov;43(7-8):803-820. doi: 10.1177/0272989X231202505. Epub 2023 Oct 16.

Abstract

BACKGROUND

Graphical representation formats (e.g., icon arrays) have been shown to lead to better understanding of the benefits and risks of treatments compared to numbers. We investigate the cognitive processes underlying the effects of format on understanding: how much cognitive effort is required to process numerical and graphical representations, how people process inconsistent representations, and how numeracy and graph literacy affect information processing.

METHODS

In a preregistered between-participants experiment, 665 participants answered questions about the relative frequencies of benefits and side effects of 6 medications. First, we manipulated whether the medical information was represented numerically, graphically (as icon arrays), or inconsistently (numerically for 3 medications and graphically for the other 3). Second, to examine cognitive effort, we manipulated whether there was time pressure or not. In an additional intervention condition, participants translated graphical information into numerical information before answering questions. We also assessed numeracy and graph literacy.

RESULTS

Processing icon arrays was more strongly affected by time pressure than processing numbers, suggesting that graphical formats required more cognitive effort. Understanding was lower when information was represented inconsistently (v. consistently) but not if there was a preceding intervention. Decisions based on inconsistent representations were biased toward graphically represented options. People with higher numeracy processed quantitative information more efficiently than people with lower numeracy did. Graph literacy was not related to processing efficiency.

LIMITATIONS

Our study was conducted with a nonpatient sample, and the medical information was hypothetical.

CONCLUSIONS

Although graphical (v. numerical) formats have previously been found to lead to better understanding, they may require more cognitive effort. Therefore, the goal of risk communication may play an important role when choosing how to communicate medical information.

HIGHLIGHTS

This article investigates the cognitive processes underlying the effects of representation format on the understanding of statistical information and individual differences therein.Processing icon arrays required more cognitive effort than processing numbers did.When information was represented inconsistently (i.e., partly numerically and partly graphically), understanding was lower than with consistent representation, and decisions were biased toward the graphically represented options.People with higher numeracy processed quantitative information more efficiently than people with lower numeracy did.

摘要

背景

与数字相比,图形表示格式(例如图标数组)已被证明可以更好地理解治疗的益处和风险。我们研究了格式对理解效果的认知过程:处理数字和图形表示所需的认知努力程度,人们如何处理不一致的表示,以及数素养和图形素养如何影响信息处理。

方法

在一项预先注册的参与者之间的实验中,665 名参与者回答了关于 6 种药物的益处和副作用相对频率的问题。首先,我们操纵了医疗信息是用数字表示、图形表示(图标数组)还是不一致地表示(3 种药物用数字表示,另外 3 种药物用图形表示)。其次,为了检查认知努力程度,我们是否施加了时间压力。在一个额外的干预条件下,参与者在回答问题之前将图形信息转换为数字信息。我们还评估了数素养和图形素养。

结果

与处理数字相比,处理图标数组受到时间压力的影响更大,这表明图形格式需要更多的认知努力。当信息不一致表示(与一致表示相比)时,理解程度较低,但如果有先前的干预,则不会出现这种情况。基于不一致表示的决策偏向于图形表示的选项。数素养较高的人比数素养较低的人更有效地处理定量信息。图形素养与处理效率无关。

局限性

我们的研究是在非患者样本中进行的,并且医学信息是假设的。

结论

尽管先前发现图形(与数字)格式可以更好地理解,但它们可能需要更多的认知努力。因此,在选择如何传达医学信息时,风险沟通的目标可能起着重要作用。

重点

本文研究了表示格式对理解统计信息及其个体差异的认知过程。与处理数字相比,处理图标数组需要更多的认知努力。当信息以不一致的方式呈现(即部分数字和部分图形)时,理解程度低于一致呈现,并且决策偏向图形表示的选项。数素养较高的人比数素养较低的人更有效地处理定量信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3b9/10625726/157e9a51faca/10.1177_0272989X231202505-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验