Data Visualizations: An Integrative Literature Review of Empirical Studies Across Disciplines

Carolyn Gubala, Lisa Melonçon
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Abstract

This paper addresses the increasing importance of information literacy, especially visual communication and data visualizations. We use visualizations here to mean the visual depictions of data via charts, graphs, and other forms. We focus on data visualizations because they are typically the first thing that draws the reader’s attention.Our study updates the results of a previous literature review on data visualizations [6] that reported on 25 empirical studies that asked participants about data visualizations in health and medical information contexts. By updating this integrative literature review with data from the last five years (2017-2021), our goal is to examine changes in empirical research on data visualizations across disciplines. This analysis of 32 empirical studies found that pictographs, icon arrays, and bar charts remain effective choices for data visualizations with diverse users. However, the studies also point to an ongoing need to conduct research with more contextualized research questions and a focus on interactive displays, issues of numeracy, and a closer look at risk. More so than scholars in other disciplines, TPC scholars are uniquely positioned to focus on context with an eye toward generalizable approaches, which are much needed in research communicating complex health information through data visualizations.
数据可视化:跨学科实证研究的综合文献综述
本文论述了信息素养日益增长的重要性,尤其是视觉交流和数据可视化。我们在这里使用可视化是指通过图表、图形和其他形式对数据进行可视化描述。我们专注于数据可视化,因为它们通常是吸引读者注意力的第一件事。我们的研究更新了先前关于数据可视化的文献综述[6]的结果,该文献综述报告了25项实证研究,这些研究向参与者询问了健康和医疗信息背景下的数据可视化。通过用过去五年(2017-2021)的数据更新这一综合文献综述,我们的目标是研究跨学科数据可视化实证研究的变化。对32项实证研究的分析发现,象形文字、图标数组和条形图仍然是不同用户进行数据可视化的有效选择。然而,这些研究也指出,目前还需要进行更多情境化研究问题的研究,并将重点放在互动展示、计算问题和更仔细地观察风险上。与其他学科的学者相比,TPC学者具有独特的定位,他们专注于上下文,着眼于可推广的方法,这在通过数据可视化传达复杂健康信息的研究中是非常需要的。
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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