Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text

Shaun O'Brien, C. Lauer
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引用次数: 14

Abstract

In this paper we present the results of an empirical study that analyzed how people understand the data presented to them in deceptive data visualizations when those visualizations are paired with non-deceptive text. This study was administered as an online user survey and was designed to test the extent to which deceptive data visualizations can fool users, even when they are accompanied by a paragraph of accurate text. The study consisted of a basic demographic questionnaire, chart familiarity assessment, and data visualization survey. A total of 256 participants completed the survey and were evenly distributed between a control (non-deceptive) survey and a test (deceptive) survey in which participants were asked to observe a paragraph of text and a data visualization. Participants then answered a question relevant to the observed information to measure how they perceived the information. The results of the study confirmed that deceptive techniques in data visualizations caused participants to misinterpret the information in the deceptive data visualizations even when they were accompanied by accurate explanatory text. Furthermore, certain demographics and comfort levels with chart types were more susceptible to certain types of deceptive techniques. These results highlight the importance of education and awareness in the area of data visualizations to ensure deceptive practices are not utilized on the part of developers and to avoid misinformation on the part of users.
测试用户对与解释性文本配对的欺骗性数据可视化的敏感性
在本文中,我们提出了一项实证研究的结果,分析了当这些可视化与非欺骗性文本配对时,人们如何理解在欺骗性数据可视化中呈现给他们的数据。这项研究是作为一项在线用户调查进行的,旨在测试欺骗性数据可视化可以欺骗用户的程度,即使它们伴随着一段准确的文本。研究包括基本的人口调查问卷、图表熟悉度评估和数据可视化调查。共有256名参与者完成了这项调查,他们被均匀地分布在对照(非欺骗性)调查和测试(欺骗性)调查之间,在测试中,参与者被要求观察一段文字和一个数据可视化。然后,参与者回答了一个与观察到的信息相关的问题,以衡量他们对信息的感知。研究结果证实,数据可视化中的欺骗性技术导致参与者误解了欺骗性数据可视化中的信息,即使它们伴随着准确的解释文本。此外,某些人口统计数据和图表类型的舒适度更容易受到某些类型的欺骗技术的影响。这些结果强调了数据可视化领域的教育和意识的重要性,以确保开发人员不利用欺骗行为,并避免用户的错误信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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