Investigating interruptibility at activity breakpoints using smartphone activity recognition API

Mikio Obuchi, Jin Nakazawa, Wataru Sasaki, Hideyuki Tokuda, Tadashi Okoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

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".

Original languageEnglish
Title of host publicationUbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages1602-1607
Number of pages6
ISBN (Electronic)9781450344623
DOIs
Publication statusPublished - 2016 Sep 12
Event2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany
Duration: 2016 Sep 122016 Sep 16

Other

Other2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
CountryGermany
CityHeidelberg
Period16/9/1216/9/16

Fingerprint

Smartphones
Application programming interfaces (API)

Keywords

  • Activity recognition
  • Interruptibility
  • Notification
  • Smartphone
  • User attention

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Information Systems
  • Computer Networks and Communications
  • Human-Computer Interaction

Cite this

Obuchi, M., Nakazawa, J., Sasaki, W., Tokuda, H., & Okoshi, T. (2016). Investigating interruptibility at activity breakpoints using smartphone activity recognition API. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1602-1607). Association for Computing Machinery, Inc. https://doi.org/10.1145/2968219.2968556

Investigating interruptibility at activity breakpoints using smartphone activity recognition API. / Obuchi, Mikio; Nakazawa, Jin; Sasaki, Wataru; Tokuda, Hideyuki; Okoshi, Tadashi.

UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2016. p. 1602-1607.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Obuchi, M, Nakazawa, J, Sasaki, W, Tokuda, H & Okoshi, T 2016, Investigating interruptibility at activity breakpoints using smartphone activity recognition API. in UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, pp. 1602-1607, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 16/9/12. https://doi.org/10.1145/2968219.2968556
Obuchi M, Nakazawa J, Sasaki W, Tokuda H, Okoshi T. Investigating interruptibility at activity breakpoints using smartphone activity recognition API. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2016. p. 1602-1607 https://doi.org/10.1145/2968219.2968556
Obuchi, Mikio ; Nakazawa, Jin ; Sasaki, Wataru ; Tokuda, Hideyuki ; Okoshi, Tadashi. / Investigating interruptibility at activity breakpoints using smartphone activity recognition API. UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2016. pp. 1602-1607
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