叙事可视化:描述累积的风险和增加对数据的信任。

IF 3.4 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Madison Fansher, Logan Walls, Chenxu Hao, Hari Subramonyam, Aysecan Boduroglu, Priti Shah, Jessica K Witt
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引用次数: 0

摘要

在人们缺乏先验知识和风险意识的情况下,例如COVID-19大流行,即使是真实的数据可视化也可能令人惊讶。这可能导致人们不信任数据的真实性,并对其进行低估,从而导致糟糕的风险决策。在这项工作中,我们说明了叙事可视化如何在三种常见风险沟通媒介(静态可视化、交互式模拟和充满情感的轶事)的好处之间取得平衡。我们通过实证证明,在沟通COVID-19传播风险时,观看叙事可视化可以减轻静态可视化所引起的担忧(研究1)。我们表明,在增加对大风险的关注方面,叙事可视化比静态可视化更有效,因为它们增加了人们对数据的感知理解和信任(研究2)。我们认为,叙事可视化作为一种独特的可视化类型值得关注,它有可能成为科学交流的强大工具(特别是在数据令人惊讶的情况下,经验主义很重要)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Narrative visualizations: Depicting accumulating risks and increasing trust in data.

In contexts where people lack prior knowledge and risk awareness-such as the COVID-19 pandemic-even truthful visualizations of data can seem surprising. This can lead people to mistrust the veracity of the data and to discount it, leading to poor risk decisions. In this work, we illustrate how narrative visualizations can achieve a balance between the benefits of three common risk communication mediums (static visualizations, interactive simulations, and affect-laden anecdotes). We demonstrate empirically that viewing a narrative visualization mitigates the reduced concern induced by a static visualization when communicating COVID-19 transmission risk (Study 1). Through mediation analysis, we show that narrative visualizations are more effective than static visualizations at increasing concern about large risks because they increase one's perceived understanding and trust in data (Study 2). We argue that narrative visualizations deserve attention as a distinct class of visualizations that have the potential to be powerful tools for scientific communication (especially in contexts where data are surprising, and empiricism is important).

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来源期刊
CiteScore
6.80
自引率
7.30%
发文量
96
审稿时长
25 weeks
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