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自动标题:用于可视化的交互式标题生成器
IEEE transactions on visualization and computer graphics
|June 29, 2023
概括
自动标题是一个交互式工具,通过考虑重要性和简洁性等因素来生成可视化标题. 它通过深度学习和用户反帮助用户找到最好的标题.
科学领域:
- 计算机科学 计算机科学
- 信息可视化 信息可视化
背景情况:
- 产生有效的可视化标题是具有挑战性的,因为多个用户的要求.
- 现有的方法缺乏灵活性来平衡标题属性,如重要性,简洁性和清晰度.
研究的目的:
- 提出AutoTitle,这是一个交互式系统,用于生成满足不同用户需求的可视化标题.
- 通过考虑通过用户访谈识别的关键因素来探索可视化标题的设计空间.
主要方法:
- 总结标题质量因素:功能重要性,覆盖范围,准确性,信息丰富性,简洁性和非技术性.
- 开发一个生成管道,包括可视化事实穿越和基于深度学习的标题创建.
- 实施量化评估指标,以确定标题因素.
主要成果:
- 自动标题通过穿越可视化事实和采用深度学习来生成各种各样的标题.
- 交互式界面允许用户根据定量指标过和探索标题.
- 一项用户研究验证了生成标题的质量和评估指标的有用性.
结论:
- 自动标题有效地解决了对可视化标题的多种要求.
- 该系统为作者提供了一种实用的方法,通过交互式探索来发现最佳标题.
- 开发的指标为评估和选择可视化标题提供了合理的基础.
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