Tzu-Chieh Lin
Hao-Ping Lee
ABSTRACT
Smartphone users do not deal with notifications strictly in the order they are displayed, but sometimes read them from the middle, suggesting a mismatch between current systems’ display order and users’ needs. We therefore used mixed methods to investigate 34 smartphone users’ desired notification display order and related it with users’ self-reported order of attendance. Classifying using these two orders as dimensions, we obtained seven types of notifications, which helped us not only highlight the distinct attributes but understand the implied roles of these seven types of notifications, as well as the implied meaning of display orders. This is especially manifested in our identification of three main mismatches between the two orders. Qualitative findings reveal several meanings that participants attached to particular positions when arranging notifications. We offer design implications for notification systems, including calling for two-dimensional notification layout to support the multi-purpose roles of smartphone notifications we identified.
- 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 (Vienna, Austria) (CHI ’04). Association for Computing Machinery, New York, NY, USA, 271–278. https://doi.org/10.1145/985692.985727Google Scholar
Digital Library
- 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 (San Diego, CA, USA) (CSCW ’08). Association for Computing Machinery, New York, NY, USA, 285–294. https://doi.org/10.1145/1460563.1460610Google ScholarDigital Library
- Jiang Bian, Anlei Dong, Xiaofeng He, Srihari Reddy, and Yi Chang. 2013. User Action Interpretation for Online Content Optimization. IEEE Trans. on Knowl. and Data Eng. 25, 9 (Sept. 2013), 2161–2174. https://doi.org/10.1109/TKDE.2012.130Google ScholarDigital Library
- Yung-Ju Chang, Yi-Ju Chung, and Yi-Hao Shih. 2019. I Think It’s Her: Investigating Smartphone Users’ Speculation about Phone Notifications and Its Influence on Attendance. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (Taipei, Taiwan) (MobileHCI ’19). Association for Computing Machinery, New York, NY, USA, Article 14, 13 pages. https://doi.org/10.1145/3338286.3340125Google ScholarDigital Library
- Yung-Ju Chang and John C. Tang. 2015. Investigating Mobile Users’ Ringer Mode Usage and Attentiveness and Responsiveness to Communication. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 6–15. https://doi.org/10.1145/2785830.2785852Google ScholarDigital Library
- Yi-Shyuan Chiang, Ruei-Che Chang, Yi-Lin Chuang, Shih-Ya Chou, Hao-Ping Lee, I-Ju Lin, Jian-Hua Jiang Chen, and Yung-Ju Chang. 2020. Exploring the Design Space of User-System Communication for Smart-Home Routine Assistants. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3313831.3376501Google ScholarDigital Library
- Android Developers. 2017. Notifications UX: What’s New for Android O (Google I/O ’17). Google I/O. https://www.youtube.com/watch?v=vwZi56I0Mi0&t=1170s&ab_channel=AndroidDevelopers[Online; accessed 15-September-2020].Google Scholar
- 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 (Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 1–5. https://doi.org/10.1145/2785830.2785840Google ScholarDigital Library
- Trinh Minh Tri Do, Jan Blom, and Daniel Gatica-Perez. 2011. Smartphone Usage in the Wild: A Large-Scale Analysis of Applications and Context. In Proceedings of the 13th International Conference on Multimodal Interfaces (Alicante, Spain) (ICMI ’11). Association for Computing Machinery, New York, NY, USA, 353–360. https://doi.org/10.1145/2070481.2070550Google ScholarDigital Library
- 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 (Lisbon, Portugal) (MobileHCI ’10). Association for Computing Machinery, New York, NY, USA, 103–112. https://doi.org/10.1145/1851600.1851620Google ScholarDigital Library
- Sandy Gould, Duncan Brumby, and Anna 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 (09 2013), 149–153. https://doi.org/10.1177/1541931213571034Google ScholarCross Ref
- iOS Developers. 2020. Human Interface Guidelines. Apple. https://developer.apple.com/design/human-interface-guidelines/ios/overview/mac-catalyst/[Online; accessed 15-September-2020].Google Scholar
- 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 (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 1011–1020. https://doi.org/10.1145/2858036.2858359Google ScholarDigital Library
- Hao-Ping Lee, Kuan-Yin Chen, Chih-Heng Lin, Chia-Yu Chen, Yu-Lin Chung, Yung-Ju Chang, and Chien-Ru Sun. 2019. Does Who Matter? Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300756Google ScholarDigital Library
- 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 (San Francisco, California, USA) (MobileHCI ’12). Association for Computing Machinery, New York, NY, USA, 291–294. https://doi.org/10.1145/2371574.2371617Google ScholarDigital Library
- Hugo Lopez-Tovar, Andreas Charalambous, and John Dowell. 2015. Managing Smartphone Interruptions through Adaptive Modes and Modulation of Notifications. In Proceedings of the 20th International Conference on Intelligent User Interfaces (Atlanta, Georgia, USA) (IUI ’15). Association for Computing Machinery, New York, NY, USA, 296–299. https://doi.org/10.1145/2678025.2701390Google ScholarDigital Library
- Andrés Lucero. 2015. Using Affinity Diagrams to Evaluate Interactive Prototypes. In 15th Human-Computer Interaction (INTERACT), Vol. 9297. Springer, Bamberg, Germany, 231–248. https://doi.org/10.1007/978-3-319-22668-2_19Google 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(Seattle, Washington) (UbiComp ’14 Adjunct). Association for Computing Machinery, New York, NY, USA, 111–114. https://doi.org/10.1145/2638728.2638759Google ScholarDigital Library
- 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 (Heidelberg, Germany) (UbiComp ’16). Association for Computing Machinery, New York, NY, USA, 1223–1234. https://doi.org/10.1145/2971648.2971747Google ScholarDigital Library
- 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 (Osaka, Japan) (UbiComp ’15). Association for Computing Machinery, New York, NY, USA, 813–824. https://doi.org/10.1145/2750858.2807544Google 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 (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 1021–1032. https://doi.org/10.1145/2858036.2858566Google ScholarDigital Library
- Jakob Nielsen. 1994. Enhancing the Explanatory Power of Usability Heuristics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, Massachusetts, USA) (CHI ’94). Association for Computing Machinery, New York, NY, USA, 152–158. https://doi.org/10.1145/191666.191729Google ScholarDigital Library
- Lauren Norrie and Roderick Murray-Smith. 2015. Impact of Smartphone Notification Display Choice in a Typing Task. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 1094–1099. https://doi.org/10.1145/2786567.2794335Google ScholarDigital Library
- 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 (Seattle, Washington) (UbiComp ’14). Association for Computing Machinery, New York, NY, USA, 897–908. https://doi.org/10.1145/2632048.2632062Google 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 (Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 1100–1105. https://doi.org/10.1145/2786567.2794336Google ScholarDigital Library
- 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 (Toronto, ON, Canada) (MobileHCI ’14). Association for Computing Machinery, New York, NY, USA, 233–242. https://doi.org/10.1145/2628363.2628364Google 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 (Osaka, Japan) (UbiComp ’15). Association for Computing Machinery, New York, NY, USA, 825–836. https://doi.org/10.1145/2750858.2804252Google ScholarDigital Library
- Martin Pielot and Luz Rello. 2015. The Do Not Disturb Challenge: A Day Without Notifications. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems(Seoul, Republic of Korea) (CHI EA ’15). Association for Computing Machinery, New York, NY, USA, 1761–1766. https://doi.org/10.1145/2702613.2732704Google ScholarDigital Library
- 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 (Barcelona, Spain) (MobileHCI ’18). Association for Computing Machinery, New York, NY, USA, Article 3, 11 pages. https://doi.org/10.1145/3229434.3229445Google ScholarDigital Library
- Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-Scalae Assessment of Mobile Notifications. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14). Association for Computing Machinery, New York, NY, USA, 3055–3064. https://doi.org/10.1145/2556288.2557189Google ScholarDigital Library
- Angela Sasse, Chris Johnson (editors, and Daniel C. Mcfarlane. 1999. Coordinating the Interruption of People in Human-Computer Interaction.Google Scholar
- Liam D. Turner, Stuart M. Allen, and Roger M. Whitaker. 2019. The influence of concurrent mobile notifications on individual responses. International Journal of Human-Computer Studies 132 (2019), 70 – 80. https://doi.org/10.1016/j.ijhcs.2019.07.011Google ScholarDigital Library
- Aku Visuri, N. V. Berkel, T. Okoshi, J. Gonçalves, and V. Kostakos. 2019. Understanding smartphone notifications’ user interactions and content importance. Int. J. Hum. Comput. Stud. 128 (2019), 72–85. https://doi.org/10.1016/j.ijhcs.2019.03.001Google ScholarDigital Library
- 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 (Hamburg, Germany) (MuC’19). Association for Computing Machinery, New York, NY, USA, 361–372. https://doi.org/10.1145/3340764.3340765Google ScholarDigital Library
- Tilo Westermann, Sebastian Möller, and Ina Wechsung. 2015. Assessing the Relationship between Technical Affinity, Stress and Notifications on Smartphones. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct(Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 652–659. https://doi.org/10.1145/2786567.2793684Google ScholarDigital Library
- Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, and Anind K. Dey. 2016. Discovering Different Kinds of Smartphone Users through Their Application Usage Behaviors. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Heidelberg, Germany) (UbiComp ’16). Association for Computing Machinery, New York, NY, USA, 498–509. https://doi.org/10.1145/2971648.2971696Google ScholarDigital Library
Index Terms
- “Put it on the Top, I’ll Read it Later”: Investigating Users’ Desired Display Order for Smartphone Notifications
Index terms have been assigned to the content through auto-classification.
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