@inproceedings{53b56adbcbfe431b96d8bbc06e951c07,
title = "Investigating interruptibility at activity breakpoints using smartphone activity recognition API",
abstract = "We propose a system for improving the answer rate to ES inquiry to reduce the user's mental burden by detectin breakpoints in user's physical activity and pushing notification in such timings. We conducted an in-The-wild use study with 30 participants for 4-days. The results reveale the effectiveness of breakpoint-based notification delivery In the best case, 70.0% improvement in user's respons time to notifications was observed at a transition to th user's activity from {"}walking{"} to {"}stationary{"}.",
keywords = "Activity recognition, Interruptibility, Notification, Smartphone, User attention",
author = "Mikio Obuchi and Jin Nakazawa and Wataru Sasaki and Hideyuki Tokuda and Tadashi Okoshi",
year = "2016",
month = sep,
day = "12",
doi = "10.1145/2968219.2968556",
language = "English",
series = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
publisher = "Association for Computing Machinery, Inc",
pages = "1602--1607",
booktitle = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
note = "2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 ; Conference date: 12-09-2016 Through 16-09-2016",
}