Integrating annotations into multidimensional visual dashboards

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Information Visualization Pub Date : 2022-03-07 DOI:10.1177/14738716221079591

Sriram Karthik Badam, Senthil K. Chandrasegaran, N. Elmqvist

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引用次数: 2

Abstract

Multidimensional data is often visualized using coordinated multiple views in an interactive dashboard. However, unlike in infographics where text is often a central part of the presentation, there is currently little knowledge of how to best integrate text and annotations in a visualization dashboard. In this paper, we explore a technique called FacetNotes for presenting these textual annotations on top of any visualization within a dashboard irrespective of the scale of data shown or the design of visual representation itself. FacetNotes does so by grouping and ordering the textual annotations based on properties of (1) the individual data points associated with the annotations, and (2) the target visual representation on which they should be shown. We present this technique along with a set of user interface features and guidelines to apply it to visualization interfaces. We also demonstrate FacetNotes in a custom visual dashboard interface. Finally, results from a user study of FacetNotes show that the technique improves the scope and complexity of insights developed during visual exploration.

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将注释集成到多维可视化仪表板中

多维数据通常使用交互式仪表板中协调的多个视图进行可视化。然而，与信息图形中文本通常是演示的中心部分不同，目前对如何在可视化面板中最好地集成文本和注释知之甚少。在本文中，我们探索了一种名为FacetNotes的技术，用于在仪表板内的任何可视化之上显示这些文本注释，而不管显示的数据规模或视觉表示本身的设计如何。FacetNotes通过基于以下属性对文本注释进行分组和排序来做到这一点：（1）与注释相关联的单个数据点，以及（2）它们应该在其上显示的目标视觉表示。我们介绍了这项技术以及一组将其应用于可视化界面的用户界面特性和指南。我们还在自定义的可视化面板界面中演示FacetNotes。最后，FacetNotes的用户研究结果表明，该技术提高了视觉探索过程中开发的见解的范围和复杂性。

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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来源期刊

Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.40

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).