Visual Analytics (VA) tools provide ways for users to harness insights and knowledge from datasets. Recalling and retelling user experiences while utilizing VA tools has attracted significant interest. Nevertheless, each user sessions are unique. Even when different users have the same intention when using a VA tool, they may follow different paths and uncover different insights. Current methods of manually processing such data to recall and retell users' knowledge discovery paths may also be time-consuming, especially when there is the need to present users' findings to third parties. This paper presents a novel system that collects user intentions, behavior, and insights during knowledge discovery sessions, automatically structure the data, and extracts narrations of knowledge discovery as PowerPoint slide decks. The system is powered by a Knowledge Graph designed based on a formal and reproducible modeling process. To evaluate our system, we have attached it to two existing VA tools where users were asked to perform pre-defined tasks. Several slide decks and other analysis metrics were extracted from the generated Knowledge Graph. Experts scrutinized and confirmed the usefulness of our automated process for using the slide decks to disclose knowledge discovery paths to others and to verify whether the VA tools themselves were effective.
翻译:视觉分析(VA)工具为用户提供了利用数据集的洞察力和知识的途径。回顾和介绍用户在使用 VA 工具时的经验,引起了极大的兴趣。然而,每个用户会议都是独特的。即使不同的用户在使用 VA 工具时有着同样的意图,他们也可能遵循不同的路径和发现不同的洞察力。目前人工处理这类数据以回忆和回放用户的知识发现路径的方法也可能很费时,特别是当需要向第三方介绍用户的发现时。本文件展示了一个新系统,收集用户在知识发现会议期间的意图、行为和洞察力,自动构建数据,并提取知识发现作为 PowerPoint 幻灯片甲板的解析。这个系统由基于正式和可复制的模型程序设计的知识图提供动力。为了评估我们的系统,我们将其附在两个现有的 VA 工具上,其中要求用户执行预先确定的任务。从生成的知识图表中提取了几个幻灯片甲板和其他分析指标。专家们检查并证实了我们自动程序在使用幻灯片甲板披露知识发现工具方面的有效性。