让我们变得个性化:探索个性化可视化的设计

Beleicia B. Bullock, Shunan Guo, E. Koh, R. Rossi, F. Du, J. Hoffswell
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引用次数: 0

摘要

媒体经常发布可视化,这些可视化可以根据用户的人口统计数据(如位置、种族和年龄)进行个性化。然而,这种个性化可视化的设计仍未得到充分探索。在这项工作中,我们对47篇面向公众的个性化可视化文章进行了设计空间分析,以了解设计师如何构建内容,鼓励探索和呈现见解。我们发现文章往往缺乏明确的探索建议或说明,数据通知,以及个性化的视觉洞察。然后,我们概述了未来研究的三个轨迹:(1)探索用户如何选择个性化可视化,(2)研究探索建议和示例如何影响用户交互,以及(3)研究个性化如何影响用户洞察力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Let's Get Personal: Exploring the Design of Personalized Visualizations
Media outlets often publish visualizations that can be personalized based on users' demographics, such as location, race, and age. However, the design of such personalized visualizations remains under-explored. In this work, we contribute a design space analysis of 47 public-facing articles with personalized visualizations to understand how designers structure content, encourage exploration, and present insights. We find that articles often lack explicit exploration suggestions or instructions, data notices, and personalized visual insights. We then outline three trajectories for future research: (1) explore how users choose to personalize visualizations, (2) examine how exploration suggestions and examples impact user interaction, and (3) investigate how personalization influences user insights.
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