From Instruction to Insight: Exploring the Functional and Semantic Roles of Text in Interactive Dashboards

Nicole Sultanum;Vidya Setlur
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Abstract

There is increased interest in understanding the interplay between text and visuals in the field of data visualization. However, this attention has predominantly been on the use of text in standalone visualizations (such as text annotation overlays) or augmenting text stories supported by a series of independent views. In this paper, we shift from the traditional focus on single-chart annotations to characterize the nuanced but crucial communication role of text in the complex environment of interactive dashboards. Through a survey and analysis of 190 dashboards in the wild, plus 13 expert interview sessions with experienced dashboard authors, we highlight the distinctive nature of text as an integral component of the dashboard experience, while delving into the categories, semantic levels, and functional roles of text, and exploring how these text elements are coalesced by dashboard authors to guide and inform dashboard users. Our contributions are threefold. First, we distill qualitative and quantitative findings from our studies to characterize current practices of text use in dashboards, including a categorization of text-based components and design patterns. Second, we leverage current practices and existing literature to propose, discuss, and validate recommended practices for text in dashboards, embodied as a set of 12 heuristics that underscore the semantic and functional role of text in offering navigational cues, contextualizing data insights, supporting reading order, among other concerns. Third, we reflect on our findings to identify gaps and propose opportunities for data visualization researchers to push the boundaries on text usage for dashboards, from authoring support and interactivity to text generation and content personalization. Our research underscores the significance of elevating text as a first-class citizen in data visualization, and the need to support the inclusion of textual components and their interactive affordances in dashboard design.
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从指导到洞察:探索交互式仪表盘中文本的功能和语义作用
在数据可视化领域,人们越来越关注如何理解文本与视觉效果之间的相互作用。然而,这种关注主要集中在文本在独立可视化中的使用(如文本注释叠加),或在一系列独立视图的支持下对文本故事进行扩充。在本文中,我们将从传统上对单个图表注释的关注转移到描述文本在交互式仪表盘的复杂环境中细微而关键的交流作用。通过对 190 个常用仪表盘的调查和分析,以及与经验丰富的仪表盘作者进行的 13 次专家访谈,我们强调了文本作为仪表盘体验不可或缺的组成部分所具有的独特性,同时深入研究了文本的类别、语义层次和功能作用,并探讨了仪表盘作者如何将这些文本元素整合在一起,为仪表盘用户提供指导和信息。我们的贡献体现在三个方面。首先,我们从研究中提炼出定性和定量的发现,描述了仪表盘中文本使用的当前实践,包括对基于文本的组件和设计模式进行分类。其次,我们利用当前的实践和现有的文献,提出、讨论并验证了仪表盘中文本的推荐实践,这些实践体现为一套 12 项启发式方法,强调了文本在提供导航提示、将数据洞察情景化、支持阅读顺序等方面的语义和功能作用。第三,我们对研究结果进行了反思,找出了差距,并为数据可视化研究人员提出了机会,以推动仪表盘文本使用的界限,从编写支持和交互性到文本生成和内容个性化。我们的研究强调了将文本提升为数据可视化一等公民的重要性,以及支持在仪表盘设计中纳入文本组件及其交互能力的必要性。
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