使用哪种强调技巧?对不同干扰物、背景和可视化类型的强调技巧的感知。

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2022-04-01 Epub Date: 2021-09-22 DOI:10.1177/14738716211045354
Aristides Mairena, Carl Gutwin, Andy Cockburn
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引用次数: 4

摘要

强调效果是使数据元素与周围环境区别开来的视觉变化。设计师可以使用计算显著性模型来预测观众的注意力将如何被特定的效果所引导;然而,尽管显著性模型提供了对重点感知的基本理解,但它们仅涵盖抽象条件下的特定视觉效果。为了解决这些局限性,我们开展了众包研究,在比以前研究更广泛的条件下评估重点感知。我们改变了效果的大小、干扰物的数量和类型、背景和可视化类型,并测量了12种视觉效果的感知重点。我们的研究结果表明,在广泛的环境中存在强调的感知共性,但也存在某些效果的可感知性限制,这取决于可视化的背景或类型。我们开发了一个基于简单散点图的强调可预测性的模型,该模型可以扩展到其他观看条件。我们的研究为设计师提供了新的理解观众如何在现实的可视化设置中体验重点。
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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Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types.

Emphasis effects are visual changes that make data elements distinct from their surroundings. Designers may use computational saliency models to predict how a viewer's attention will be guided by a specific effect; however, although saliency models provide a foundational understanding of emphasis perception, they only cover specific visual effects in abstract conditions. To address these limitations, we carried out crowdsourced studies that evaluate emphasis perception in a wider range of conditions than previously studied. We varied effect magnitude, distractor number and type, background, and visualization type, and measured the perceived emphasis of 12 visual effects. Our results show that there are perceptual commonalities of emphasis across a wide range of environments, but also that there are limitations on perceptibility for some effects, dependent on a visualization's background or type. We developed a model of emphasis predictability based on simple scatterplots that can be extended to other viewing conditions. Our studies provide designers with new understanding of how viewers experience emphasis in realistic visualization settings.

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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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