Non-disruptive Interruption Management Based on Predicted Interruptibility

2017 Fiscal Year Final Research Report

• Project/Area Number: 26280071
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Human interface and interaction
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Fujita Kinya 東京農工大学, 工学(系)研究科(研究院), 教授 (30209051)
• Co-Investigator(Kenkyū-buntansha): 田中 貴紘 名古屋大学, 未来社会創造機構, 特任准教授 (80451988)
• Co-Investigator(Renkei-kenkyūsha): YOKOYAMA Hitomi 東京農工大学, 大学院工学研究院, 特任助教 (50638517)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: ヒューマンインタフェース / 割り込み / 予測 / 電子メール / 知的生産性

Outline of Final Research Achievements

Aiming to avoid disruptions caused by e-mail notifications or phone calls and to provide notifications at appropriate times, this study examined the feasibility to predict the duration of uninterruptible state of PC users based on the PC operation information. We proposed a probabilistic work-continuance model whose probability varies depending on the used-application software, activity ratio between keystrokes and mouse clicks, and others. The experimental evaluation demonstrated the feasibility of prediction of uninterruptible durations.
In addition, we demonstrated the feasibility to improve the accuracy of interruptibility estimation by using smartphone information. We also analyzed the observation on remotely shared interruptibility among team members using eye-tracking systems. It revealed that they observed about once an hour and frequently looked at themselves presumably for self-reflection.

Free Research Field

ヒューマンインタフェース・バーチャルリアリティ