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Annotif: A System for Annotating Mobile Notifcations in User Studies

Published:26 November 2019Publication History

ABSTRACT

Notifications are an essential feature of smartphones. While they support users in staying up-to-date, they are also a prominent source of interruptions. A deeper understanding of mobile notifications is required to avoid adverse effects. However, assessing mobile notifications is challenging as user studies on mobile notifications are typically conducted in-situ. Surveying users may lead to additional interruptions, and the content of notifications is inherently private. In this paper, we introduce a privacy-aware system for annotating mobile notifications in user studies. In an in-situ case study, participants annotated their notifications for one week. Participants perceived 38.91% of their notifications as not important and over half (51.75%) as non-urgent. Only 6.33% of the notifications were rated as both very important and very urgent. We discuss influencing factors, including a breakdown of messaging notifications, and implications for future smart notification systems that continue to fulfill users' information need while respecting their digital well-being.

References

  1. Piotr D. Adamczyk and Brian P. Bailey. 2004. If Not Now, when?: The Effects of Interruption at Different Moments Within Task Execution. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '04). ACM, New York, NY, USA, 271--278. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Julie H. Aranda and Safia Baig. 2018. Toward "JOMO": The Joy of Missing out and the Freedom of Disconnecting. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '18). ACM, New York, NY, USA, Article 19, 8 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jonas Auda, Dominik Weber, Alexandra Voit, and Stefan Schneegass. 2018. Understanding User Preferences Towards Rule-based Notification Deferral. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18). ACM, New York, NY, USA, Article LBW584, 6 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Daniel Avrahami, Susan R. Fussell, and Scott E. Hudson. 2008. IM Waiting: Timing and Responsiveness in Semi-synchronous Communication. In Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work (CSCW '08). ACM, New York, NY, USA, 285--294. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Agathe Battestini, Vidya Setlur, and Timothy Sohn. 2010. A Large Scale Study of Text-messaging Use. In Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '10). ACM, New York, NY, USA, 229--238. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Niels Van Berkel, Denzil Ferreira, and Vassilis Kostakos. 2017. The Experience Sampling Method on Mobile Devices. ACM Comput. Surv. 50, 6, Article 93 (Dec. 2017), 40 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Jeremy Birnholtz, Jeff Hancock, Madeline Smith, and Lindsay Reynolds. 2012. Understanding Unavailability in a World of Constant Connection. interactions 19, 5 (Sept. 2012), 32--35. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Karen Church and Rodrigo de Oliveira. 2013. What's Up with WhatsApp?: Comparing Mobile Instant Messaging Behaviors with Traditional SMS. In Proceedings of the 15th International Conference on Human-computer Interaction with Mobile Devices and Services (Mobile-HCI '13). ACM, New York, NY, USA, 352--361. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Sunny Consolvo and Miriam Walker. 2003. Using the experience sampling method to evaluate ubicomp applications. IEEE Pervasive Computing 2, 2 (2003), 24--31.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Mary Czerwinski, Edward Cutrell, and Eric Horvitz. 2000. Instant messaging and interruption: Influence of task type on performance. In OZCHI 2000 conference proceedings, Vol. 356. 361--367.Google ScholarGoogle Scholar
  11. Mary Czerwinski, Ed Cutrell, and Eric Horvitz. 2000. Instant Messaging: Effects of Relevance and Timing. In People and Computers XIV: Proceedings of HCI 2000 (people and computers xiv: proceedings of hci 2000 ed.), Vol. 2. 71--76. https://www.microsoft.com/en-us/research/publication/instant-messaging-effects-of-relevance-and-timing/Google ScholarGoogle Scholar
  12. Android Developers. 2018. NotificationListenerService. Retrieved August 22, 2019 from https://developer.android.com/reference/android/service/notification/NotificationListenerService.htmlGoogle ScholarGoogle Scholar
  13. Tilman Dingler and Martin Pielot. 2015. I'll Be There for You: Quantifying Attentiveness Towards Mobile Messaging. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '15). ACM, New York, NY, USA, 1--5. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Adrienne Porter Felt, Serge Egelman, and David Wagner. 2012. I've Got 99 Problems, but Vibration Ain't One: A Survey of Smartphone Users' Concerns. In Proceedings of the Second ACM Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM '12). ACM, New York, NY, USA, 33--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Joel E. Fischer, Chris Greenhalgh, and Steve Benford. 2011. Investigating Episodes of Mobile Phone Activity As Indicators of Opportune Moments to Deliver Notifications. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '11). ACM, New York, NY, USA, 181--190. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. 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 Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '10). ACM, New York, NY, USA, 103--112. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Tony Gillie and Donald Broadbent. 1989. What makes interruptions disruptive? A study of length, similarity, and complexity. Psychological Research 50, 4 (01 Apr 1989), 243--250. Google ScholarGoogle ScholarCross RefCross Ref
  18. Sandy J. J. Gould, Duncan P. Brumby, and Anna L. Cox. 2013. What does it mean for an interruption to be relevant? An investigation of relevance as a memory effect. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, 1 (2013), 149--153. Google ScholarGoogle ScholarCross RefCross Ref
  19. Rúben Gouveia and Evangelos Karapanos. 2013. Footprint Tracker: Supporting Diary Studies with Lifelogging. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 2921--2930. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Joel M Hektner, Jennifer A Schmidt, and Mihaly Csikszentmihalyi. 2007. Experience sampling method: Measuring the quality of everyday life. Sage.Google ScholarGoogle Scholar
  21. Shamsi T. Iqbal and Brian P. Bailey. 2008. Effects of Intelligent Notification Management on Users and Their Tasks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08). ACM, New York, NY, USA, 93--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Daniel Kahneman, Alan B. Krueger, David A. Schkade, Norbert Schwarz, and Arthur A. Stone. 2004. A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method. Science 306, 5702 (2004), 1776--1780. arXiv:http://science.sciencemag.org/content/306/5702/1776.full.pdf Google ScholarGoogle Scholar
  23. S Kalyanaraman, J Ivory, and L Maschmeyer. 2005. Interruptions and online information processing: The role of interruption type, interruption content, and interruption frequency. In Proc. of 2005 Annual Meeting of International Communication Association, Vol. 2005. 1--32.Google ScholarGoogle Scholar
  24. Kleomenis Katevas, Ioannis Arapakis, and Martin Pielot. 2018. Typical Phone Use Habits: Intense Use Does Not Predict Negative Well-being. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '18). ACM, New York, NY, USA, Article 11, 13 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Kostadin Kushlev, Jason Proulx, and Elizabeth W. Dunn. 2016. "Silence Your Phones": Smartphone Notifications Increase Inattention and Hyperactivity Symptoms. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1011--1020. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Luis Leiva, Matthias Böhmer, Sven Gehring, and Antonio Krüger. 2012. Back to the App: The Costs of Mobile Application Interruptions. In Proceedings of the 14th International Conference on Human-computer Interaction with Mobile Devices and Services (MobileHCI '12). ACM, New York, NY, USA, 291--294. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Abhinav Mehrotra, Robert Hendley, and Mirco Musolesi. 2016. PrefMiner: Mining User's Preferences for Intelligent Mobile Notification Management. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16). ACM, New York, NY, USA, 1223--1234. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Abhinav Mehrotra, Mirco Musolesi, Robert Hendley, and Veljko Pejovic. 2015. Designing Content-driven Intelligent Notification Mechanisms for Mobile Applications. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM, New York, NY, USA, 813--824. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Abhinav Mehrotra, Veljko Pejovic, Jo Vermeulen, Robert Hendley, and Mirco Musolesi. 2016. My Phone and Me: Understanding People's Receptivity to Mobile Notifications. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1021--1032. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Tadashi Okoshi, Julian Ramos, Hiroki Nozaki, Jin Nakazawa, Anind K. Dey, and Hideyuki Tokuda. 2015. Reducing Users' Perceived Mental Effort Due to Interruptive Notifications in Multi-device Mobile Environments. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM, New York, NY, USA, 475--486. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. 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 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 541--554. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Veljko Pejovic and Mirco Musolesi. 2014. InterruptMe: Designing Intelligent Prompting Mechanisms for Pervasive Applications. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14). ACM, New York, NY, USA, 897--908. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014. An In-situ Study of Mobile Phone Notifications. In Proceedings of the 16th International Conference on Human-computer Interaction with Mobile Devices & Services (MobileHCI '14). ACM, New York, NY, USA, 233--242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Martin Pielot, Rodrigo de Oliveira, Haewoon Kwak, and Nuria Oliver. 2014. Didn't You See My Message?: Predicting Attentiveness to Mobile Instant Messages. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 3319--3328. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Martin Pielot and Luz Rello. 2017. Productive, Anxious, Lonely: 24 Hours Without Push Notifications. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). ACM, New York, NY, USA, Article 11, 11 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Martin Pielot, Amalia Vradi, and Souneil Park. 2018. Dismissed! A Detailed Exploration of How Mobile Phone Users Handle Push Notifications. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '18). ACM, New York, NY, USA, Article 3, 11 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale Assessment of Mobile Notifications. In Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 3055--3064. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Cary Stothart, Ainsley Mitchum, and Courtney Yehnert. 2015. The attentional cost of receiving a cell phone notification. Journal of experimental psychology: human perception and performance 41, 4 (2015), 893.Google ScholarGoogle ScholarCross RefCross Ref
  39. Jan Willem Streefkerk, D Scott McCrickard, Myra P van Esch-Bussemakers, and Mark A Neerincx. 2012. Balancing awareness and interruption in mobile patrol using context-aware notification. International Journal of Mobile Human Computer Interaction (IJMHCI) 4, 3 (2012), 1--27.Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Liam D Turner, Stuart M Allen, and Roger M Whitaker. 2017. Reachable but not receptive: Enhancing smartphone interruptibility prediction by modelling the extent of user engagement with notifications. Pervasive and Mobile Computing 40 (2017), 480--494.Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Dominik Weber, Alireza Sahami Shirazi, and Niels Henze. 2015. Towards Smart Notifications Using Research in the Large. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '15). ACM, New York, NY, USA, 1117--1122. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Dominik Weber, Alexandra Voit, Jonas Auda, Stefan Schneegass, and Niels Henze. 2018. Snooze! Investigating the User-defined Deferral of Mobile Notifications. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '18). ACM, New York, NY, USA, Article 2, 13 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Dominik Weber, Alexandra Voit, and Niels Henze. 2018. Notification Log: An Open-Source Framework for Notification Research on Mobile Devices. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18). ACM, New York, NY, USA, 1271--1278. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Dominik Weber, Alexandra Voit, and Niels Henze. 2019. Clear All: A Large-Scale Observational Study on Mobile Notification Drawers. In Proceedings of Mensch und Computer 2019 (MuC '19). ACM, New York, NY, USA, 361--372. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Dominik Weber, Alexandra Voit, Philipp Kratzer, and Niels Henze. 2016. In-situ Investigation of Notifications in Multi-device Environments. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16). ACM, New York, NY, USA, 1259--1264. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Dominik Weber, Alexandra Voit, Huy Viet Le, and Niels Henze. 2016. Notification Dashboard: Enabling Reflection on Mobile Notifications. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '16). ACM, New York, NY, USA, 936--941. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. WhatsApp. 2017. Connecting One Billion Users Every Day. Retrieved August 22, 2019 from https://blog.whatsapp.com/10000631/Connecting-One-Billion-Users-Every-DayGoogle ScholarGoogle Scholar
  48. SungHyuk Yoon, Sang-su Lee, Jae-myung Lee, and KunPyo Lee. 2014. Understanding Notification Stress of Smartphone Messenger App. In Proceedings of the Extended Abstracts of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI EA '14). ACM, New York, NY, USA, 1735--1740. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Other conferences
          MUM '19: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia
          November 2019
          462 pages
          ISBN:9781450376242
          DOI:10.1145/3365610

          Copyright © 2019 ACM

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          Publication History

          • Published: 26 November 2019

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