ABSTRACT
Notifications on mobile devices are a prominent source of interruptions. Previous work suggests using opportune moments to deliver notifications to reduce negative effects. In this paper, we instead explore the manual deferral of notifications. We developed an Android app that allows users to "snooze" mobile notifications for a user-defined amount of time or to a user-defined point in time. Using this app, we conducted a year-long in-the-wild study with 295 active users. To complement the findings, we recruited 16 further participants who used the app for one week and subsequently interviewed them. In both studies, snoozing was mainly used to defer notifications related to people and events. The reasons for deferral were manifold, from not being able to attend notifications immediately to not wanting to. Daily routines played an important role in the deferral of notifications. Most notifications were deferred to the same day or next morning, and a deferral of more than two days was an exception. Based on our findings, we derive design implications that can inform the design of future smart notification systems.
- 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. ACM, 271--278. Google ScholarDigital Library
- 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 ScholarDigital Library
- Brian P Bailey, Joseph A Konstan, and John V Carlis. 2000. Measuring the effects of interruptions on task performance in the user interface. In Systems, Man, and Cybernetics, 2000 IEEE International Conference on, Vol. 2. IEEE, 757--762.Google Scholar
- Karen Church and Rodrigo de Oliveira. 2013. What's up with whatsapp?: comparing mobile instant messaging behaviors with traditional SMS. 15th international conference on Human-computer interaction with mobile devices and services (MobileHCI'13) (2013), 352--361. Google ScholarDigital Library
- Herbert H Clark. 1996. Using language. Cambridge university press.Google Scholar
- Fulvio Corno, Luigi De Russis, and Teodoro Montanaro. 2016. A context and user aware smart notification system. IEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings (2016), 645--651. Google ScholarDigital Library
- Mary Czerwinski, Edward Cutrell, and Eric Horvitz. 2000. Instant Messaging and Interruption: Influence of Task Type on Performance. Proceedings of OZCHI 2000 (2000), 356--361.Google Scholar
- Android Developers. 2018. NotificationListenerService. https://developer.android.com/reference/android/service/notification/NotificationListenerService.html. (2018). {Online; accessed 20-January-2018}.Google Scholar
- Tilman Dingler, Dominik Weber, Martin Pielot, Jennifer Cooper, Chung-Cheng Chang, and Niels Henze. 2017. Language Learning On-the-go: Opportune Moments and Design of Mobile Microlearning Sessions. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). ACM, New York, NY, USA, Article 28, 12 pages. Google ScholarDigital Library
- Joel E. Fischer, Chris Greenhalgh, and Steve Benford. 2011. Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services - MobileHCI '11 (2011), 181. Google ScholarDigital Library
- 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 ScholarCross Ref
- Joyce Ho and Stephen S Intille. 2005. Using context-aware computing to reduce the perceived burden of interruptions from mobile devices. Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '05 (2005), 909. Google ScholarDigital Library
- Eric Horvitz, Paul Koch, and Johnson Apacible. 2004. BusyBody: Creating and Fielding Personalized Models of the Cost of Interruption. In Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work (CSCW '04). ACM, New York, NY, USA, 507--510. Google ScholarDigital Library
- Shamsi T. Iqbal and Brian P. Bailey. 2010. Oasis. ACM Transactions on Computer-Human Interaction 17, 4 (2010), 1--28. Google ScholarDigital Library
- N. Kern and B. Schiele. 2003. Context-aware notification for wearable computing. Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings. (2003), 223--230. Google ScholarDigital Library
- Afra Mashhadi, Akhil Mathur, and Fahim Kawsar. 2014. The Myth of Subtle Notifications. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (UbiComp '14 Adjunct). ACM, New York, NY, USA, 111--114. Google ScholarDigital Library
- Abhinav Mehrotra, Robert Hendley, and Mirco Musolesi. 2016. PrefMiner. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '16 October (2016), 1223--1234. Google ScholarDigital Library
- Abhinav Mehrotra, Mirco Musolesi, Robert Hendley, and Veljko Pejovic. 2015. Designing content-driven intelligent notification mechanisms for mobile applications. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15) (2015), 813--824. Google ScholarDigital Library
- 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 ScholarDigital Library
- Alistair Morrison, Donald McMillan, Stuart Reeves, Scott Sherwood, and Matthew Chalmers. 2012. A Hybrid Mass Participation Approach to Mobile Software Trials. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 1311--1320. Google ScholarDigital Library
- Darren Newtson and Gretchen Engquist. 1976. The perceptual organization of ongoing behavior. Journal of Experimental Social Psychology 12, 5 (1976), 436--450.Google ScholarCross Ref
- Tadashi Okoshi, Julian Ramos, Hiroki Nozaki, Jin Nakazawa, Anind K Dey, and Hideyuki Tokuda. 2015a. Attelia : Reducing User ' s Cognitive Load due to Interruptive Notifications on Smart Phones. (2015), 96--104.Google Scholar
- Tadashi Okoshi, Julian Ramos, Hiroki Nozaki, Jin Nakazawa, Anind K. Dey, and Hideyuki Tokuda. 2015b. Reducing Users' Perceived Mental Effort due to Interruptive Notifications in Multi-Device Mobile Environments. Proceedings of the Joint International Conference on Pervasive and Ubiquitous Computing and the International Symposium on Wearable Computers (Ubicomp/ISWC'15) (2015), 475--486. Google ScholarDigital Library
- Tadashi Okoshi, Hideyuki Tokuda, and Jin Nakazawa. 2014. Attelia: Sensing User's Attention Status on Smart Phones. Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct (2014), 139--142. Google ScholarDigital Library
- 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. Proceedings of IEEE International Conference on Pervasive Computing and Communications 2017 (PerCom '17) (2017).Google ScholarCross Ref
- 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 ScholarDigital Library
- Veljko Pejovic and United Kingdom. 2014. InterruptMe: Designing Intelligent Prompting Mechanisms for Pervasive Applications. (2014), 897--908. Google ScholarDigital Library
- Veljko Pejovic, Mirco Musolesi, and Abhinav Mehrotra. 2015. Investigating The Role of Task Engagement in Mobile Interruptibility. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '15). ACM, New York, NY, USA, 1100--1105. Google ScholarDigital Library
- Martin Pielot, Bruno Cardoso, Kleomenis Katevas, Joan Serrà, Aleksandar Matic, and Nuria Oliver. 2017. Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 91 (Sept. 2017), 25 pages. Google ScholarDigital Library
- Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014. An In-Situ Study of Mobile Phone Notifications. Proc. MobileHCI '14 (2014), 233--242. Google ScholarDigital Library
- Martin Pielot, Tilman Dingler, Jose San Pedro, and Nuria Oliver. 2015. When Attention is Not Scarce - Detecting Boredom from Mobile Phone Usage. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM, New York, NY, USA, 825--836. Google ScholarDigital Library
- Martin Pielot and Luz Rello. 2015. The Do Not Disturb Challenge: A Day Without Notifications. Extended Abstracts of the ACM CHI'15 Conference on Human Factors in Computing Systems 2 (2015), 1761--1766. Google ScholarDigital Library
- 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 ScholarDigital Library
- Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale assessment of mobile notifications. Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14 (2014), 3055--3064. Google ScholarDigital Library
- Angela Sasse, Chris Johnson, and others. 1999. Coordinating the interruption of people in human-computer interaction. In Human-computer interaction, INTERACT, Vol. 99. 295.Google Scholar
- Daniel Siewiorek, Asim Smailagic, Junichi Furukawa, Neema Moraveji, Kathryn Reiger, and Jeremy Shaffer. 2003. SenSay: A context-aware mobile phone. Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings. (2003), 248--249. Google ScholarDigital Library
- Katarzyna Stawarz, Anna L. Cox, and Ann Blandford. 2014. Don't Forget Your Pill!: Designing Effective Medication Reminder Apps That Support Users' Daily Routines. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 2269--2278. Google ScholarDigital Library
- 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 ScholarDigital Library
- Dominik Weber, Alexandra Voit, Philipp Kratzer, and Niels Henze. 2016a. 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 ScholarDigital Library
- Dominik Weber, Alexandra Voit, Huy Viet Le, and Niels Henze. 2016b. 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 ScholarDigital Library
- Fengpeng Yuan, Xianyi Gao, and Janne Lindqvist. 2017. How Busy Are You?: Predicting the Interruptibility Intensity of Mobile Users. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 5346--5360. Google ScholarDigital Library
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