Yung-Ju Chang
ABSTRACT
Smartphone users' decisions about whether to attend to a notification after sensing it are under-researched. We therefore studied 33 Android users, and found that they speculated extensively about notifications' sources---i.e., which apps and which senders were responsible for them--- before attending to them. The participants' speculation about apps was both more common and more accurate than that about senders. They also were more likely to 1) perceive notifications as important, 2) attend to them, and 3) consider them beneficial if they speculated about them than if they did not or could not. Participants' speculations were based on the alert's inherent characteristics, context, and temporality. Inaccurate speculations were mainly caused by unclear signals, insufficient clues, and a multiplicity of possible sources. Ringer mode affected the accuracy of user speculation, but not its frequency or the frequency of attending to notifications.
- S. Aminikhanghahi, R. Fallahzadeh, M. Sawyer, D. J. Cook, and L. B. Holder. 2017. Thyme: Improving Smartphone Prompt Timing Through Activity Awareness. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 315--322. DOI: https://doi.org/10.1109/ICMLA.2017.0-141Google Scholar
- 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), 19:1--19:8. DOI: https://doi.org/10.1145/3229434.3229468Google Scholar
- Niels van Berkel, Chu Luo, Theodoros Anagnostopoulos, Denzil Ferreira, Jorge Goncalves, Simo Hosio, and Vassilis Kostakos. 2016. A Systematic Assessment of Smartphone Usage Gaps. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16), 4711--4721. DOI:https://doi.org/10.1145/2858036.2858348Google ScholarDigital Library
- Richard E. Boyatzis. 1998. Transforming Qualitative Information: Thematic Analysis and Code Development. SAGE.Google Scholar
- Yung-Ju Chang, Yi-Ju Chung, Yi-Hao Shih, Hsiu-Chi Chang, and Tzu-Hao Lin. 2017. What Do Smartphone Users Do when They Sense Phone Notifications? In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17), 904--909. DOI: https://doi.org/10.1145/3123024.3124557Google 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 (MobileHCI '15), 6--15. DOI: https://doi.org/10.1145/2785830.2785852Google 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, 1--5.Google ScholarDigital Library
- Florian Fessel, Kai Epstude, and Neal J. Roese. 2009. Hindsight bias redefined: It's about time. Organizational Behavior and Human Decision Processes 110, 1 (September 2009), 56--64. DOI: https://doi.org/10.1016/j.obhdp.2009.07.001Google ScholarCross Ref
- 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), 103--112. DOI: https://doi.org/10.1145/1851600.1851620Google ScholarDigital Library
- Claudio Forlivesi and Utku Günay Acer. Mindful Interruptions: A Lightweight System for Managing Interruptibility on Wearables. 6.Google Scholar
- Jose A. Gallud and Ricardo Tesoriero. 2015. Smartphone Notifications: A Study on the Sound to Soundless Tendency. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '15), 819--824. DOI: https://doi.org/10.1145/2786567.2793706Google ScholarDigital Library
- Stavros Garzonis, Simon Jones, Tim Jay, and Eamonn O'Neill. 2009. Auditory Icon and Earcon Mobile Service Notifications: Intuitiveness, Learnability, Memorability and Preference. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09), 1513--1522. DOI: https://doi.org/10.1145/1518701.1518932Google ScholarDigital Library
- Nitesh Goyal and Susan R. Fussell. 2017. Intelligent Interruption Management Using Electro Dermal Activity Based Physiological Sensor for Collaborative Sensemaking. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3 (September 2017), 52:1--52:21. DOI: https://doi.org/10.1145/3130917Google ScholarDigital Library
- Scott A. Hawkins and Reid Hastie. 1990. Hindsight: Biased judgments of past events after the outcomes are known. Psychological bulletin 107, 3 (1990), 311.Google Scholar
- Andreas Komninos, Elton Frengkou, and John Garofalakis. 2018. Predicting User Responsiveness to Smartphone Notifications for Edge Computing. In Ambient Intelligence (Lecture Notes in Computer Science), 3--19.Google Scholar
- Klaus Krippendorff. 2004. Content analysis: An introduction to its methodology. Sage.Google Scholar
- 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 (CHI '19), 526:1--526:12. DOI: https://doi.org/10.1145/3290605.3300756Google ScholarDigital Library
- Richard Ling and Birgitte Yttri. 2002. 10 Hyper--coordination via mobile phones in Norway. Perpetual contact: Mobile communication, private talk, public performance 139, (2002).Google Scholar
- 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), 111--114. DOI: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 (UbiComp '16), 1223--1234. DOI: 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 (UbiComp '15), 813--824. DOI: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 (CHI '16), 1021--1032. DOI: https://doi.org/10.1145/2858036.2858566Google ScholarDigital Library
- Abhinav Mehrotra, Fani Tsapeli, Robert Hendley, and Mirco Musolesi. 2017. MyTraces: Investigating Correlation and Causation Between Users' Emotional States and Mobile Phone Interaction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3 (September 2017), 83:1--83:21. DOI: https://doi.org/10.1145/3130948Google ScholarDigital Library
- Midas Nouwens, Carla F. Griggio, and Wendy E. Mackay. 2017. "WhatsApp is for Family; Messenger is for Friends": Communication Places in App Ecosystems. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17), 727--735. DOI: https://doi.org/10.1145/3025453.3025484Google ScholarDigital Library
- 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), 541--554. DOI: https://doi.org/10.1145/2998181.2998189Google 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 (UbiComp '14), 897--908. DOI: https://doi.org/10.1145/2632048.2632062Google 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 (MobileHCI '14), 233--242. DOI: https://doi.org/10.1145/2628363.2628364Google 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 (CHI EA '15), 1761--1766. DOI: https://doi.org/10.1145/2702613.2732704Google ScholarDigital Library
- Martin Pielot and Luz Rello. 2016. Productive, Anxious, Lonely - 24 Hours Without Push Notifications. arXiv:1612.02314 [cs] (December 2016).Google Scholar
- Martin Pielot, Amalia Vradi, and Souneil Park. Dismissed! A Detailed Exploration of How Mobile Phone Users Handle Push Notifications. 11.Google Scholar
- B. Poppinga, W. Heuten, and S. Boll. 2014. Sensor-Based Identification of Opportune Moments for Triggering Notifications. IEEE Pervasive Computing 13, 1 (January 2014), 22--29. DOI: https://doi.org/10.1109/MPRV.2014.15Google ScholarDigital Library
- Sami Ronkainen. 2001. Earcons in motion--defining language for an intelligent mobile device. In Proceedings of the International Conference on Auditory Display (ICAD).Google Scholar
- Stephanie Rosenthal, Anind K. Dey, and Manuela Veloso. 2011. Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models. In Pervasive Computing, Kent Lyons, Jeffrey Hightower and Elaine M. Huang (eds.). Springer Berlin Heidelberg, 170--187.Google Scholar
- D. M. Russell and M. Oren. 2009. Retrospective Cued Recall: A Method for Accurately Recalling Previous User Behaviors. In 2009 42nd Hawaii International Conference on System Sciences, 1--9. DOI: https://doi.org/10.1109/HICSS.2009.370Google Scholar
- 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 SIGCHI Conference on Human Factors in Computing Systems (CHI '14), 3055--3064. DOI: https://doi.org/10.1145/2556288.2557189Google ScholarDigital Library
- Hillol Sarker, Moushumi Sharmin, Amin Ahsan Ali, Md. Mahbubur Rahman, Rummana Bari, Syed Monowar Hossain, and Santosh Kumar. 2014. Assessing the Availability of Users to Engage in Just-in-time Intervention in the Natural Environment. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14), 909--920. DOI: https://doi.org/10.1145/2632048.2636082Google ScholarDigital Library
- Florian Schulze and Georg Groh. 2014. Studying How Character of Conversation Affects Personal Receptivity to Mobile Notifications. In Proceedings of the Extended Abstracts of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI EA '14), 1729--1734. DOI: https://doi.org/10.1145/2559206.2581320Google ScholarDigital Library
- Florian Schulze and Georg Groh. 2016. Conversational Context Helps Improve Mobile Notification Management. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16), 518--528. DOI: https://doi.org/10.1145/2935334.2935347Google ScholarDigital Library
- Alireza Sahami Shirazi and Niels Henze. 2015. Assessment of Notifications on Smartwatches. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '15), 1111--1116. DOI: https://doi.org/10.1145/2786567.2794338Google ScholarDigital Library
- Liam D. Turner, Stuart M. Allen, and Roger M. Whitaker. 2015. Push or Delay? Decomposing Smartphone Notification Response Behaviour. In Human Behavior Understanding. Springer, Cham, 69--83. DOI: https://doi.org/10.1007/978-3-319-24195-1_6Google Scholar
- Liam D. Turner, Stuart M. Allen, and Roger M. Whitaker. 2015. Push or Delay? Decomposing Smartphone Notification Response Behaviour. In Human Behavior Understanding, Albert Ali Salah, Ben J. A. Kröse and Diane J. Cook (eds.). Springer International Publishing, 69--83. DOI: https://doi.org/10.1007/978-3-319-24195-1_6Google Scholar
- Aku Visuri, Niels van Berkel, Chu Luo, Jorge Goncalves, Denzil Ferreira, and Vassilis Kostakos. 2017. Challenges of Quantified-self: Encouraging Self-reported Data Logging During Recurrent Smartphone Usage. In Proceedings of the 31st British Computer Society Human Computer Interaction Conference (HCI '17), 81:1--81:7. DOI: https://doi.org/10.14236/ewic/HCI2017.81Google 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), 1117--1122. DOI: https://doi.org/10.1145/2786567.2794334Google ScholarDigital Library
- Dominik Weber, Alexandra Voit, Jonas Auda, Stefan Schneegass, and Niels Henze. 2018. Snooze! Investigating the User-Defined Deferral of Mobile Notifications. (2018).Google Scholar
- Tilo Westermann. 2017. Global Analysis of User Behavior in the Field. In User Acceptance of Mobile Notifications. Springer, Singapore, 63--79. DOI: https://doi.org/10.1007/978-981-10-3851-8_4Google Scholar
- 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), 5346--5360. DOI: https://doi.org/10.1145/3025453.3025946Google ScholarDigital Library
Index Terms
- I Think It's Her: Investigating Smartphone Users' Speculation about Phone Notifications and Its Influence on Attendance
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