情報処理学会 インタラクション2023

文献情報

タイトル
A Visual Exploratory System for Data Facts in Data-driven Articles and Its Use in Business Reports
著者
  • Chen Xueyi(Tokyo Institute of Technology)
  • Ken Wakita(Tokyo Institute of Technology)
アブストラクト
説明画像

For lots of people working in different fields, reports describing a variety of data facts are authored and analyzed by lots of people every day. To get insights efficiently from such kind of data-rich document, people naturally take notes by using visual marks such as highlights, underlines, and circles traditionally. Recently, as business reporting goes electronic gradually, there is a surge of attention and interest in effective support for such kind of report analysis with the power of computer science. In this paper, we design a visual-guided method focusing on facilitating business report authoring, especially, aiming to help build interactive business reports to convey data facts via the non-programming interface. The proposed method aims to simplify the authoring of interactive business reports, lower the technical barrier, as well as empower people to comprehend the key information effectively. A use case generated by our system based on real business reports is presented to show the usage and capability of the implemented architecture.

雑誌名
インタラクション2023論文集
© 情報処理学会 2023
論文ID
2B-27
ページ
581-586
発行日
2023年3月1日
発行所
発行人 一般社団法人 情報処理学会
住所 〒101-0062 東京都千代田区神田駿河台一丁目5番地 化学会館4F
TEL. 東京 (03) 3518-8374 (代表)
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