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The role of numeric and statistical content on risk perception in infographics about road safety

机译：数字和统计内容对道路安全infographics风险感知的作用

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Numbers saturate news coverage and health and risk messaging. But as our expertise in the creation of statistical information increases, the ability to use those statistics in decision making remains frustratingly inadequate. There has been a wealth of research related to how to train people to better use the numbers they interact with on a daily basis. Far less research, however, explores the appropriate way to use numbers in communication. Two experiments explored the role of numbers in risk communication infographics related to road safety while driving. Experiment 1 found that the presence of numbers influence risk perception, but whether those numbers reflect accurate statistics or random numbers does not change their influence. Experiment 2 found that removing all statistics entirely from infographics and replacing them with linguistic gist representations of the numbers (i.e. words like 'some', 'many', 'none') increased risk perception even though people found the infographics to be less informative than the ones containing numbers. The results suggest that the gist representations of the numbers in the context of the infographics are equivalent regardless of their value, such that the very presence of statistics influences judgment and risk perception but not their meaning. They also suggest that people do not always realize how they are using statistical information in their judgement and decision making process.
机译：数字饱和新闻报道和健康和风险消息传递。但随着我们在创建统计信息的专业知识增加，在决策中使用这些统计数据的能力仍然是令人沮丧的。有丰富的研究与如何培养人们更好地使用他们每天互动的数字。然而，研究更少，探讨了在通信中使用数字的合适方法。两个实验探讨了在驾驶时与道路安全有关的风险通信信息图中的数量的作用。实验1发现数字存在影响风险感知，但这些数字是否反映了准确的统计或随机数不会改变其影响。实验2发现，完全从信息图表中删除所有统计数据，并用数字的语言要说替换它们的数量（即“有些”，“许多”，“许多”，“无”）即使人们发现信息图表少于信息包含数字的人。结果表明，无论其价值如何，信息图表的上下文中的数字的要点是等同的，使得统计数据的存在影响判断和风险感知，而不是它们的含义。他们还建议人们并不总是意识到如何在判断和决策过程中使用统计信息。

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