skip to main content
10.1145/3170427.3188688acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract

Understanding User Preferences towards Rule-based Notification Deferral

Published:20 April 2018Publication History

ABSTRACT

Mobile devices generate a tremendous number of notifications every day. While some of them are important, a huge number of them are not of particular interest for the user. In this work, we investigate how users manually defer notifications using a rule-based approach. We provide three different types of rules, namely, suppressing, summarizing once a day, and snoozing to a specific point in time. In a user study with 16 participants, we explore how users apply these rules. We report on the usage behavior as well as feedback received during an interview. Last, we derive guidelines that inform future notification deferral systems.

References

  1. Joel E. Fischer, Nick Yee, Victoria Bellotti, Nathan Good, Steve Benford, and Chris Greenhalgh. 2010. Effects of Content and Time of Delivery on Receptivity to Mobile Interruptions. In Proc. MobileHCI '10. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Abhinav Mehrotra, Robert Hendley, and Mirco Musolesi. 2016. PrefMiner: Mining User's Preferences for Intelligent Mobile Notification Management. In Proc. UbiComp '16. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Tadashi Okoshi, Jin Nakazawa, and Hideyuki Tokuda. 2014. Attelia: Sensing User's Attention Status on Smart Phones. In Proc. UbiComp '14 Adjunct. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Tadashi Okoshi, Kota Tsubouchi, Masaya Taji, Takanori Ichikawa, and Hideyuki Tokuda. 2017. Attention and engagement-awareness in the wild: A large-scale study with adaptive notifications. In PerCom '17. IEEE.Google ScholarGoogle ScholarCross RefCross Ref
  5. Chunjong Park, Junsung Lim, Juho Kim, Sung-Ju Lee, and Dongman Lee. 2017. Don't Bother Me. I'm Socializing!: A Breakpoint-Based Smartphone Notification System. In Proc. CSCW '17. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014. An In-situ Study of Mobile Phone Notifications. In Proc. MobileHCI '14. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Martin Pielot and Luz Rello. 2017. Productive, Anxious, Lonely: 24 Hours Without Push Notifications. In Proc. MobileHCI '17. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale Assessment of Mobile Notifications. In Proc. CHI '14. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Dominik Weber, Alexandra Voit, Philipp Kratzer, and Niels Henze. 2016a. In-situ Investigation of Notifications in Multi-device Environments. In Proc. UbiComp '16. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Dominik Weber, Alexandra Voit, Huy Viet Le, and Niels Henze. 2016b. Notification Dashboard: Enabling Reflection on Mobile Notifications. In Proc. MobileHCI '16 Adjunct. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Understanding User Preferences towards Rule-based Notification Deferral

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 April 2018

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader