Topology-aware space distortion for structured visualization spaces

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Weihang Wang, Sriram Karthik Badam, N. Elmqvist
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引用次数: 1

Abstract

We propose topology-aware space distortion (TASD), a family of interactive layout techniques for non-linearly distorting geometric space based on user attention and on the structure of the visual representation. TASD seamlessly adapts the visual substrate of any visualization to give more screen real estate to important regions of the representation at the expense of less important regions. In this paper, we present a concrete TASD technique that we call ZoomHalo for interactively distorting a two-dimensional space based on a degree-of-interest (DOI) function defined for the space. Using this DOI function, ZoomHalo derives several areas of interest, computes the available space around each area in relation to other areas and the current viewport extents, and then dynamically expands (or shrinks) each area given user input. We use our prototype to evaluate the technique in two user studies, as well as showcase examples of TASD for node-link diagrams, word clouds, and geographical maps.
结构化可视化空间的拓扑感知空间畸变
我们提出了拓扑感知空间失真(TAD),这是一系列基于用户注意力和视觉表示结构的非线性失真几何空间的交互式布局技术。TAD无缝地适应任何可视化的视觉基底,以牺牲不太重要的区域为代价,为表示的重要区域提供更多的屏幕真实感。在本文中,我们提出了一种具体的TAD技术,我们称之为ZoomHalo,用于基于为二维空间定义的兴趣度(DOI)函数交互式扭曲二维空间。使用这个DOI函数,ZoomHalo导出几个感兴趣的区域,计算每个区域周围相对于其他区域和当前视口范围的可用空间,然后在给定用户输入的情况下动态扩展(或缩小)每个区域。我们使用我们的原型在两项用户研究中评估了该技术,并展示了节点链接图、单词云和地理地图的TAD示例。
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
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
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).
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