User Interface for Efficient Browsing of Message Streams

2016 Fiscal Year Final Research Report

• Project/Area Number: 26540163
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Web informatics, Service informatics
• Research Institution: Kyoto University
• Principal Investigator: Tajima Keishi 京都大学, 情報学研究科, 教授 (60283876)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: メッセージストリーム / ソーシャルメディア / グラフ分析 / 情報推薦 / 意図推定 / マイクロブログ / blog

Outline of Final Research Achievements

We investigated design of user interface for efficient browsing of message streams (e.g., emails and timelines of social media), and proposed an interface that classify messages based on some of their properties and shows the messages in multiple tabs, instead of simply listing all messages in one stream in reverse-chronological order or in importance order. In order to implement such an interface, we also developed methods of automatically classifying messages (particularly tweets in Twitter) into those tabs. Our methods infer the purpose of the user sending the messages and the purpose of the user receiving the messages, and then classify the messages based on these results.

Free Research Field

情報科学