People's interruptibility in-the-wild: Analysis of breakpoint detection model in a large-scale study

Kota Tsubouchi, Tadashi Okoshi

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In the advancing ubiquitous computing where users have been having an increasing amount of push-style information provision from lots of intelligent proactive services, detecting the users' current attentional status and/or in-terruptibility has been a significant issue. In our previous study[7] on interruptibility detection in "Yahoo! JAPAN" real world product for 21 days with more than 680,000 users, the result showed significant lower user response time in exchange for notification delivery delay for about 4 minutes on average. In this paper, we further analyze the features in the interruptibility detection model trained and updated during this study in nightly basis for 21 days and report the results. Copyright held by the owner/author(s).

本文言語English
ホスト出版物のタイトルUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
出版社Association for Computing Machinery, Inc
ページ922-927
ページ数6
ISBN(電子版)9781450351904
DOI
出版ステータスPublished - 2017 9 11
イベント2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States
継続期間: 2017 9 112017 9 15

出版物シリーズ

名前UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Other

Other2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017
国/地域United States
CityMaui
Period17/9/1117/9/15

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ネットワークおよび通信

フィンガープリント

「People's interruptibility in-the-wild: Analysis of breakpoint detection model in a large-scale study」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル