论文标题
表征自动数据见解
Characterizing Automated Data Insights
论文作者
论文摘要
许多研究人员探索了旨在向用户推荐数据见解的工具。这些工具会自动传达大量的数据见解，并为许多不同的目的提供此类见解。但是，缺乏关于这些工具研究人员的“洞察力”含义以及分析工作流中这些工具旨在支持的工作的结构性理解。我们对试图推荐数据见解的现有系统进行了系统的审查。基于审查，我们提出了12种自动见解和四种自动见解的目的。我们进一步讨论了分析中出现的设计机会。
Many researchers have explored tools that aim to recommend data insights to users. These tools automatically communicate a rich diversity of data insights and offer such insights for many different purposes. However, there is a lack of structured understanding concerning what researchers of these tools mean by "insight" and what tasks in the analysis workflow these tools aim to support. We conducted a systematic review of existing systems that seek to recommend data insights. Grounded in the review, we propose 12 types of automated insights and four purposes of automating insights. We further discuss the design opportunities emerged from our analysis.
