Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication
Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication
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DOI：
10.1109/tvcg.2018.2865145
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发表时间：
2019-01
影响因子：
5.2
通讯作者：
Arjun Srinivasan;S. Drucker;A. Endert;J. Stasko
中科院分区：
文献类型：
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作者：
Arjun Srinivasan;S. Drucker;A. Endert;J. Stasko
最近，越来越多的可视化系统开始将自然语言生成（NLG）功能纳入其界面。基于NLG的可视化系统通常利用一套统计功能来自动提取有关基础数据的关键事实，并将其呈现为自然语言句子以及可视化范围。使用当前系统，通常需要用户阅读系统生成的句子，并在心理上将其映射回随附的可视化。但是，根据可视化的特征（例如，可视化类型，数据密度）和数据事实的复杂性，精神上将事实映射到可视化可能是一项具有挑战性的任务。此外，可以使用多个可视化来说明单个数据事实。不幸的是，当前工具几乎没有或没有支持用户探索此类替代方案的支持。在本文中，我们探讨了如何将系统生成的数据事实视为交互式小部件，以帮助用户解释可视化并传达其发现。我们提出了Voder，该系统使用户可以与自动生成的数据事实进行交互，以探索这两个替代性可视化以传达数据事实以及一组点缀，以突出可视化中的事实。 Voder将数据事实作为交互式小部件，还促进了基于数据的事实可视化搜索。为了评估Voder的设计和功能，我们进行了一项初步的用户研究，其中12位参与者具有不同水平的可视化工具经验。参与者的反馈表明，交互式数据事实有助于他们解释可视化。参与者还指出，这些建议通过事实浮出水面，帮助他们探索了替代性可视化和点缀以传达单个数据事实。
Recently, an increasing number of visualization systems have begun to incorporate natural language generation (NLG) capabilities into their interfaces. NLG-based visualization systems typically leverage a suite of statistical functions to automatically extract key facts about the underlying data and surface them as natural language sentences alongside visualizations. With current systems, users are typically required to read the system-generated sentences and mentally map them back to the accompanying visualization. However, depending on the features of the visualization (e.g., visualization type, data density) and the complexity of the data fact, mentally mapping facts to visualizations can be a challenging task. Furthermore, more than one visualization could be used to illustrate a single data fact. Unfortunately, current tools provide little or no support for users to explore such alternatives. In this paper, we explore how system-generated data facts can be treated as interactive widgets to help users interpret visualizations and communicate their findings. We present Voder, a system that lets users interact with automatically-generated data facts to explore both alternative visualizations to convey a data fact as well as a set of embellishments to highlight a fact within a visualization. Leveraging data facts as interactive widgets, Voder also facilitates data fact-based visualization search. To assess Voder's design and features, we conducted a preliminary user study with 12 participants having varying levels of experience with visualization tools. Participant feedback suggested that interactive data facts aided them in interpreting visualizations. Participants also stated that the suggestions surfaced through the facts helped them explore alternative visualizations and embellishments to communicate individual data facts.