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使用聚焦+上下文技术进行文档探索的视觉质量指南。

Visual Quality Guidance for Document Exploration with Focus+Context Techniques.

作者信息

Han Qi, Thom Dennis, John Markus, Koch Steffen, Heimerl Florian, Ertl Thomas

出版信息

IEEE Trans Vis Comput Graph. 2020 Aug;26(8):2715-2731. doi: 10.1109/TVCG.2019.2895073. Epub 2019 Jan 24.

DOI:10.1109/TVCG.2019.2895073
PMID:30676964
Abstract

Magic lens based focus+context techniques are powerful means for exploring document spatializations. Typically, they only offer additional summarized or abstracted views on focused documents. As a consequence, users might miss important information that is either not shown in aggregated form or that never happens to get focused. In this work, we present the design process and user study results for improving a magic lens based document exploration approach with exemplary visual quality cues to guide users in steering the exploration and support them in interpreting the summarization results. We contribute a thorough analysis of potential sources of information loss involved in these techniques, which include the visual spatialization of text documents, user-steered exploration, and the visual summarization. With lessons learned from previous research, we highlight the various ways those information losses could hamper the exploration. Furthermore, we formally define measures for the aforementioned different types of information losses and bias. Finally, we present the visual cues to depict these quality measures that are seamlessly integrated into the exploration approach. These visual cues guide users during the exploration and reduce the risk of misinterpretation and accelerate insight generation. We conclude with the results of a controlled user study and discuss the benefits and challenges of integrating quality guidance in exploration techniques.

摘要

基于魔镜的聚焦+上下文技术是探索文档空间化的强大手段。通常,它们只为聚焦的文档提供额外的汇总或抽象视图。因此,用户可能会错过重要信息,这些信息要么没有以聚合形式显示,要么从未被聚焦到。在这项工作中,我们展示了改进基于魔镜的文档探索方法的设计过程和用户研究结果,该方法带有示例性视觉质量线索,以指导用户进行探索,并帮助他们解释汇总结果。我们对这些技术中潜在的信息丢失来源进行了深入分析,其中包括文本文档的视觉空间化、用户引导的探索以及视觉汇总。通过从先前研究中吸取的经验教训,我们强调了这些信息丢失可能阻碍探索的各种方式。此外,我们正式定义了针对上述不同类型信息丢失和偏差的度量。最后,我们展示了用于描绘这些质量度量的视觉线索,这些线索无缝集成到探索方法中。这些视觉线索在探索过程中指导用户,降低误解风险并加速洞察力的产生。我们以一项受控用户研究的结果作为结论,并讨论在探索技术中整合质量指导的益处和挑战。

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