skip to main content
10.1145/2628363.2628364acmconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

An in-situ study of mobile phone notifications

Published:23 September 2014Publication History

ABSTRACT

Notifications on mobile phones alert users about new messages, emails, social network updates, and other events. However, little is understood about the nature and effect of such notifications on the daily lives of mobile users. We report from a one-week, in-situ study involving 15 mobile phones users, where we collected real-world notifications through a smartphone logging application alongside subjective perceptions of those notifications through an online diary. We found that our participants had to deal with 63.5 notifications on average per day, mostly from messengers and email. Whether the phone is in silent mode or not, notifications were typically viewed within minutes. Social pressure in personal communication was amongst the main reasons given. While an increasing number of notifications was associated with an increase in negative emotions, receiving more messages and social network updates also made our participants feel more connected with others. Our findings imply that avoiding interruptions from notifications may be viable for professional communication, while in personal communication, approaches should focus on managing expectations.

Skip Supplemental Material Section

Supplemental Material

mhci0111-file3.mp4

mp4

43.6 MB

References

  1. Adamczyk, P. D., and Bailey, B. P. If not now, when?: the effects of interruption at different moments within task execution. In Proc. CHI '04, ACM (2004). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Avrahami, D., and Hudson, S. E. Responsiveness in instant messaging: predictive models supporting inter-personal communication. In Proc. CHI '06, ACM (2006). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Battestini, A., Setlur, V., and Sohn, T. A large scale study of text-messaging use. In Proc. MobileHCI '10, ACM (2010), 229--238. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bentley, F., and Metcalf, C. J. The use of mobile social presence. IEEE Pervasive Computing 8, 4 (Oct. 2009), 35--41. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Birnholtz, J., Reynolds, L., Smith, M. E., and Hancock, J. everyone has to do it: -- a joint action approach to managing social inattention. Comput. Hum. Behav. 29, 6 (Nov. 2013), 2230--2238. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Bohmer, M., Hecht, B., Schoning, J., Kruger, A., and Bauer, G. Falling asleep with angry birds, facebook and kindle: a large scale study on mobile application usage. In Proc. of MobileHCI '11, ACM (2011), 47--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Church, K., and de Oliveira, R. What's up with whatsapp? comparing mobile instant messaging behaviors with traditional sms. In Proc. MobileHCI '13, ACM (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Cutrell, E., Czerwinski, M., and Horvitz, E. Notification, disruption, and memory: Effects of messaging interruptions on memory and performance. In Proc. INTERACT '11 (2001).Google ScholarGoogle Scholar
  9. Czerwinski, M., Cutrell, E., and Horvitz, E. Instant messaging and interruption: Influence of task type on performance. In Proc. OZCHI '00 (2000).Google ScholarGoogle Scholar
  10. Czerwinski, M., Horvitz, E., and Wilhite, S. A diary study of task switching and interruptions. In Proc. CHI '04, ACM (2004). Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. de Vries, R. A. J., Lohse, M., Winterboer, A., Groen, F. C., and Evers, V. Combining social strategies and workload: a new design to reduce the negative effects of task interruptions. In Proc. CHI '13 EA, ACM (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Felt, A. P., Egelman, S., and Wagner, D. I've got 99 problems, but vibration ain't one: a survey of smartphone users' concerns. In Proc SPSM '12, ACM (2012). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Fischer, J. E., Greenhalgh, C., and Benford, S. Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. In Proc. MobileHCI '11, ACM (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Fischer, J. E., Yee, N., Bellotti, V., Good, N., Benford, S., and Greenhalgh, C. Effects of content and time of delivery on receptivity to mobile interruptions. In Proc. MobileHCI '10, ACM (2010). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Fogarty, J., Hudson, S. E., Atkeson, C. G., Avrahami, D., Forlizzi, J., Kiesler, S., Lee, J. C., and Yang, J. Predicting human interruptibility with sensors. ACM Trans. Comput.-Hum. Interact. 12, 1 (Mar 2005), 119--146. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Ho, J., and Intille, S. S. Using context-aware computing to reduce the perceived burden of interruptions from mobile devices. In Proc. CHI '05, ACM (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Holtgraves, T., and Paul, K. Texting versus talking: An exploration in telecommunication language. Telemat. Inf. 30, 4 (Nov. 2013), 289--295. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Horvitz, E., Apacible, J., and Subramani, M. Balancing awareness and interruption: investigation of notification deferral policies. In Proc. UM '05, Springer-Verlag (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Iqbal, S. T., and Bailey, B. P. Effects of intelligent notification management on users and their tasks. In Proc. CHI '08, ACM (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Iqbal, S. T., and Horvitz, E. Notifications and awareness: a field study of alert usage and preferences. In Proc. CSCW '10, ACM (2010). Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Leiva, L., Böhmer, M., Gehring, S., and Krüger, A. Back to the app: the costs of mobile application interruptions. In Proc. MobileHCI '12, ACM (2012). Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Mark, G., Voida, S., and Cardello, A. "a pace not dictated by electrons": an empirical study of work without email. In Proc. CHI '12, ACM (2012). Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Nardi, B. A., Whittaker, S., and Bradner, E. Interaction and outeraction: instant messaging in action. In CSCW '00, ACM (2000). Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Oulasvirta, A., Rattenbury, T., Ma, L., and Raita, E. Habits make smartphone use more pervasive. Personal Ubiquitous Comput. 16, 1 (Jan 2012), 105--114. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Pielot, M. Large-scale evaluation of call availability prediction. In Proc. UbiComp '14 (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Pielot, M., de Oliveira, R., Kwak, H., and Oliver, N. Didn't you see my message? predicting attentiveness in mobile instant messaging. In Proc CHI '14, ACM (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Rosenthal, S., Dey, A. K., and Veloso, M. Using decision-theoretic experience sampling to build personalized mobile phone interruption models. In Proc. Pervasive '11, Springer-Verlag (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Sahami Shirazi, A., Henze, N., Pielot, M., Weber, D., and Schmidt, A. Large-scale assessment of mobile notifications. In Proc. CHI '14, ACM (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. 29. Skierkowski, D., and Wood, R. M. To text or not to text? the importance of text messaging among college-aged youth. Comput. Hum. Behav. 28, 2 (Mar. 2012), 744--756. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Teevan, J., and Hehmeyer, A. Understanding how the projection of availability state impacts the reception incoming communication. In Proc. CSCW '13, ACM (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Weiser, M. The computer for the 21st century. Scientific American 265, 3 (1991), 66--75.Google ScholarGoogle ScholarCross RefCross Ref
  32. Whittaker, S., and Sidner, C. Email overload: exploring personal information management of email. In Proc. CHI '96, ACM (1996). Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. An in-situ study of mobile phone notifications

      Recommendations

      Reviews

      Srini Ramaswamy

      The observation that people actively respond to smartphone notifications (within minutes), even if their phones are on silent mode, highlights the intrusive and addictive nature of notifications and the underlying urge of human beings to remain connected. This paper attempts to study the nature of these messages and how people deal with them in their everyday lives. The paper reaffirms what we notice with this technology, that developers innovate to push notification messages to their users, using a combination of visual, auditory, and/or haptic alerts, even when the user is not actively using the application. Such techniques raise concerns about the real nature of "ubiquity" in such applications. Although limited to a time span of one week, the study reports that its users had to deal with an average of 65 notifications daily, with most notifications peaking during lunchtime and after work hours. Email notifications were observed to be from work, while others were mainly not work related. The correlations between notifications and corresponding positive and negative emotional effects on the users are interesting, with work-related notifications leading to negative emotional effects, and social networking messages causing positive emotional states. Interestingly, it corroborates and possibly supports what organizations are increasingly attempting to do, that is, allowing employees to engage in social networking activities at work. The paper also reports that some people manage their time more effectively by postponing notifications. There are some limitations to the study, such as low sample size and the ignoring of response to notifications via other applications (for example, desktop email). Nevertheless, this is a very interesting study that has important consequences for designing workplace policies and environments. Online Computing Reviews Service

      Access critical reviews of Computing literature here

      Become a reviewer for Computing Reviews.

      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
        MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services
        September 2014
        664 pages
        ISBN:9781450330046
        DOI:10.1145/2628363

        Copyright © 2014 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 September 2014

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        MobileHCI '14 Paper Acceptance Rate35of124submissions,28%Overall Acceptance Rate202of906submissions,22%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader