苏格拉底:通过自适应机器引导引发用户反来生成数据故事
IEEE transactions on visualization and computer graphics
|November 3, 2023
概括
本研究介绍了Socrates,这是一个用于自动化数据讲故事的新系统,它使用自适应的用户反来创建定制的视觉数据故事. 与现有的方法相比,Socrates产生了更相关和更有洞察力的故事,与用户的意图保持一致.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 自动化数据讲故事系统往往缺乏用户定制,限制了叙事定制.
- 有效的视觉数据故事需要数据探索,洞察力发现和叙事组织.
研究的目的:
- 开发一种新的数据故事生成工作流程,该工作流程包含适应性用户反以进行定制.
- 通过插件模块来增强自动化数据讲故事系统,以提供交互式用户指导.
主要方法:
- 为现有的故事生成系统实施了自适应插件模块.
- 使用基于对话历史和数据集的交互式询问来获得用户反.
- 开发了一种名为Socrates的交互式原型.
主要成果:
- 苏格拉底通过量化用户研究证明了可行性.
- 与人类生成的故事相比,该系统产生了更相关的故事,具有更大的洞察力重叠.
- 可用性通过与数据分析师的采访得到证实.
结论:
- 用户反的自适应机器引导诱导对于定制数据故事是有效的.
- 苏格拉底原型在生成与用户一致的视觉数据叙述方面表现有前途.
- 进一步的研究可以探索先进的定制和集成可能性.
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