research-article

Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading Modes

Authors:

Chih-Chi Chung,

Yung-Ju ChangAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue MHCI

Article No.: 221, Pages 1 - 26

https://doi.org/10.1145/3604268

Published: 13 September 2023 Publication History

Abstract

News notifications on smartphones provide a convenient way to stay informed, but their delivery timing can influence user engagement. Despite this, research on the impact of notification timing on reading behavior remains limited. Therefore, we developed NewsMoment, a news aggregation app that monitors user reading patterns and sends news notifications. Our experience sampling study with 46 NewsMoment users revealed four distinct reading modes: typical, comprehensive, scanning, and unengaged. Deep reading, encompassing typical and comprehensive modes, more often occurred during self-initiated browsing rather than through pushed news. Interestingly, shallow reading modes - unengaged and scanning - showed varying prevalence, associated triggers, and engagement, despite their similarities. Importantly, unengaged reading persisted regardless of users' perceived moment opportuneness, whereas scanning reading was more common during inopportune moments. These findings suggest that identifying opportune moments for news reading may primarily reduce scanning reading, without substantially impacting unengaged reading.

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 2004 Conference on Human Factors in Computing Systems - CHI '04. ACM Press, Vienna, Austria, 271--278. https://doi.org/10.1145/985692.985727

Digital Library

[2]

Anthony K Akobeng. 2016. Understanding type I and type II errors, statistical power and sample size. Acta Paediatrica 105, 6 (2016), 605--609.

[3]

Alyssa Appelman and S Shyam Sundar. 2016. Measuring Message Credibility: Construction and Validation of an Exclusive Scale. Journalism & Mass Communication Quarterly 93, 1 (2016), 59--79.

[4]

Bence Bago, David G Rand, and Gordon Pennycook. 2020. Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines. Journal of experimental psychology: general 149, 8 (2020), 1608.

[5]

Frank Bentley, Katie Quehl, Jordan Wirfs-Brock, and Melissa Bica. 2019. Understanding online news behaviors. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--11.

Digital Library

[6]

Md Momen Bhuiyan, Sang Won Lee, Nitesh Goyal, and Tanushree Mitra. 2023. NewsComp: Facilitating Diverse News Reading through Comparative Annotation. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1--17.

Digital Library

[7]

Jeffrey Boase and Rich Ling. 2013. Measuring Mobile Phone Use: Self-report versus Log Data. Journal of Computer-Mediated Communication 18, 4 (2013), 508--519. https://doi.org/10.1111/jcc4.12021

[8]

Leslie H Brown, Timothy Strauman, Neus Barrantes-Vidal, Paul J Silvia, and Thomas R Kwapil. 2011. An experience-sampling study of depressive symptoms and their social context. The Journal of nervous and mental disease 199, 6 (2011), 403--409.

[9]

Letizia Caronia. 2005. Feature Report: Mobile Culture: An Ethnography of Cellular Phone Uses in Teenagers' Everyday Life. Convergence 11, 3 (Aug. 2005), 96--103. https://doi.org/10.1177/135485650501100307

[10]

Ricardo Carreira, Jaime M. Crato, Daniel Goncalves, and Joaquim A. Jorge. 2004. Evaluating Adaptive User Profiles for News Classification. In Proceedings of the 9th International Conference on Intelligent User Interface - IUI '04. ACM Press, Funchal, Madeira, Portugal, 206. https://doi.org/10.1145/964442.964481

Digital Library

[11]

Michael Chan. 2015. Examining the Influences of News Use Patterns, Motivations, and Age Cohort on Mobile News Use: The Case of Hong Kong. Mobile Media & Communication 3, 2 (May 2015), 179--195. https://doi.org/10.1177/2050157914550663

[12]

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. ACM, Taipei Taiwan, 1--13. https://doi.org/10.1145/3338286.3340125

Digital Library

[13]

Justin Cheng, Jaime Teevan, Shamsi T. Iqbal, and Michael S. Bernstein. 2015. Break It Down: A Comparison of Macro- and Microtasks. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 4061--4064.

[14]

Chia-En Chiang, Yu-Chun Chen, Fang-Yu Lin, Felicia Feng, Hao-An Wu, Hao-Ping Lee, Chang-Hsuan Yang, and Yung-Ju Chang. 2021. ?I Got Some Free Time": Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing Tasks. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1--14. https://doi.org/10.1145/3411764.3445477

Digital Library

[15]

Karen Church, Denzil Ferreira, Nikola Banovic, and Kent Lyons. 2015. Understanding the challenges of mobile phone usage data. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. 504--514.

Digital Library

[16]

Yuval Cohen, Marios Constantinides, and Paul Marshall. 2019. Places for news: A situated study of context in news consumption. In Human-Computer Interaction--INTERACT 2019: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2--6, 2019, Proceedings, Part II 17. Springer, 69--91.

[17]

Sunny Consolvo and Miriam Walker. 2003. Using the experience sampling method to evaluate ubicomp applications. IEEE pervasive computing 2, 2 (2003), 24--31.

Digital Library

[18]

Marios Constantinides and John Dowell. 2018. A framework for interaction-driven user modeling of mobile news reading behaviour. In Proceedings of the 26th conference on user modeling, adaptation and personalization. 33--41.

Digital Library

[19]

Marios Constantinides and John Dowell. 2018. A Framework for Interaction-Driven User Modeling of Mobile News Reading Behaviour. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP'18). Association for Computing Machinery, New York, NY, USA, 33--41. https://doi.org/10.1145/3209219.3209229

Digital Library

[20]

Marios Constantinides, John Dowell, David Johnson, and Sylvain Malacria. 2015. Exploring Mobile News Reading Interactions for News App Personalisation. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. ACM, Copenhagen Denmark, 457--462. https://doi.org/10.1145/2785830.2785860

Digital Library

[21]

Irene Costera Meijer and Tim Groot Kormelink. 2015. Checking, Sharing, Clicking and Linking: Changing Patterns of News Use between 2004 and 2014. Digital Journalism 3, 5 (2015), 664--679.

[22]

Mihaly Csikszentmihalyi and Reed Larson. 2014. Validity and reliability of the experience-sampling method. In Flow and the foundations of positive psychology. Springer, 35--54.

[23]

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. Citeseer, 361--367.

[24]

Henry Kudzanai Dambanemuya and Nicholas Diakopoulos. 2021. Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1--21.

Digital Library

[25]

John Dimmick, John Christian Feaster, and Gregory J. Hoplamazian. 2011. News in the Interstices: The Niches of Mobile Media in Space and Time. New Media & Society 13, 1 (Feb. 2011), 23--39. https://doi.org/10.1177/1461444810363452

[26]

John Dimmick, John Christian Feaster, and Gregory J Hoplamazian. 2011. News in the interstices: The niches of mobile media in space and time. New media & society 13, 1 (2011), 23--39.

[27]

John Dimmick, Angela Powers, Sam Mwangi, Elizabeth Stoycheff, et al. 2012. The fragmenting mass media marketplace. In Changing the news. Routledge, 191--206.

[28]

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). Association for Computing Machinery, New York, NY, USA, 1--5. https://doi.org/10.1145/2785830.2785840

Digital Library

[29]

Tilman Dingler, Benjamin Tag, Sabrina Lehrer, and Albrecht Schmidt. 2018. Reading Scheduler: Proactive Recommen-dations to Help Users Cope with Their Daily Reading Volume. In Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia. ACM, Cairo Egypt, 239--244. https://doi.org/10.1145/3282894.3282917

Digital Library

[30]

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 (Vienna, Austria) (MobileHCI '17). Association for Computing Machinery, New York, NY, USA, Article 28, 12 pages. https://doi.org/10.1145/3098279.3098565

Digital Library

[31]

Sophia Fedeli and Katerina Eva Matsa. 2018. Use of Mobile Devices for News Continues to Grow, Outpacing Desktops and Laptops. Pew Research Center(2018).

[32]

Antonio Fidalgo. 2009. PUSHED NEWS: When the News Comes to the Cellphone. Brazilian Journalism Research 5, 2 (2009), 113--124.

[33]

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 Press, Stockholm, Sweden, 181. https://doi.org/10.1145/2037373.2037402

Digital Library

[34]

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 Press, Lisbon, Portugal, 103. https://doi.org/10.1145/1851600.1851620

Digital Library

[35]

Martin Flintham, Christian Karner, Khaled Bachour, Helen Creswick, Neha Gupta, and Stuart Moran. 2018. Falling for fake news: investigating the consumption of news via social media. In Proceedings of the 2018 CHI conference on human factors in computing systems. 1--10.

Digital Library

[36]

Nir Grinberg. 2018. Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text. In Proceedings of the 2018 World Wide Web Conference (WWW '18). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 1745--1754. https://doi.org/10.1145/3178876.3186180

Digital Library

[37]

Bo-Jhang Ho, Bharathan Balaji, Mehmet Koseoglu, Sandeep Sandha, Siyou Pei, and Mani Srivastava. 2020. Quick Question: Interrupting Users for Microtasks with Reinforcement Learning. arXiv:2007.09515 [cs] (July 2020).arXiv:2007.09515 [cs]

[38]

Joyce Ho and Stephen S. Intille. 2005. Using Context-Aware Computing to Reduce the Perceived Burden of Interruptions from Mobile Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '05. ACM Press, Portland, Oregon, USA, 909. https://doi.org/10.1145/1054972.1055100

Digital Library

[39]

Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida, and Kyoji Umemura. 2020. Analysis of Short Dwell Time in Relation to User Interest in a News Application. arXiv:2012.13992 [cs] (Dec. 2020). arXiv:2012.13992 [cs]

[40]

Scott Hudson, James Fogarty, Christopher Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara Kiesler, Johnny Lee, and Jie Yang. 2003. Predicting Human Interruptibility with Sensors: A Wizard of Oz Feasibility Study. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '03). Association for Computing Machinery, New York, NY, USA, 257--264. https://doi.org/10.1145/642611.642657

Digital Library

[41]

Yoori Hwang and Se-Hoon Jeong. 2021. Misinformation Exposure and Acceptance: The Role of Information Seeking and Processing. Health Communication 0, 0 (2021), 1--9. https://doi.org/10.1080/10410236.2021.1964187 arXiv:https://doi.org/10.1080/10410236.2021.1964187 34376089.

[42]

Shamsi T. Iqbal and Brian P. Bailey. 2008. Effects of Intelligent Notification Management on Users and Their Tasks. In Proceeding of the Twenty-Sixth Annual CHI Conference on Human Factors in Computing Systems - CHI '08. ACM Press, Florence, Italy, 93. https://doi.org/10.1145/1357054.1357070

Digital Library

[43]

Shamsi T. Iqbal and Eric Horvitz. 2010. Notifications and Awareness: A Field Study of Alert Usage and Preferences. In Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work - CSCW '10. ACM Press, Savannah, Georgia, USA, 27. https://doi.org/10.1145/1718918.1718926

Digital Library

[44]

Se-Hoon Jeong and Yoori Hwang. 2012. Does Multitasking Increase or Decrease Persuasion? Effects of Multitasking on Comprehension and Counterarguing. Journal of Communication 62, 4 (2012), 571--587. https://doi.org/10.1111/j.1460--2466.2012.01659.x

[45]

Tetsuro Kobayashi and Jeffrey Boase. 2012. No Such Effect? The Implications of Measurement Error in Self-Report Measures of Mobile Communication Use. Communication Methods and Measures 6, 2 (April 2012), 126--143. https://doi.org/10.1080/19312458.2012.679243

[46]

Trupti M Kodinariya and Prashant R Makwana. 2013. Review on Determining Number of Cluster in K-means Clustering. International Journal 1, 6 (2013), 90--95.

[47]

Dmitry Lagun, Chih-Hung Hsieh, Dale Webster, and Vidhya Navalpakkam. 2014. Towards Better Measurement of Attention and Satisfaction in Mobile Search (SIGIR '14). Association for Computing Machinery, New York, NY, USA, 113--122. https://doi.org/10.1145/2600428.2609631

Digital Library

[48]

Dmitry Lagun and Mounia Lalmas. 2016. Understanding User Attention and Engagement in Online News Reading. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (WSDM '16). Association for Computing Machinery, New York, NY, USA, 113--122. https://doi.org/10.1145/2835776.2835833

Digital Library

[49]

Annie Lang. 2000. The Limited Capacity Model of Mediated Message Processing. Journal of communication 50, 1 (2000), 46--70.

[50]

Neal Lathia, Veljko Pejovic, Kiran K. Rachuri, Cecilia Mascolo, Mirco Musolesi, and Peter J. Rentfrow. 2013. Smartphones for Large-Scale Behavior Change Interventions. IEEE Pervasive Computing 12, 3 (July 2013), 66--73. https://doi.org/10.1109/MPRV.2013.56

Digital Library

[51]

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). Association for Computing Machinery, New York, NY, USA, 1--12. https://doi.org/10.1145/3290605.3300756

Digital Library

[52]

Aniek Lentferink, Matthijs L. Noordzij, Anouk Burgler, Randy Klaassen, Youri Derks, Hilbrand Oldenhuis, Hugo Velthuijsen, and Lisette van Gemert-Pijnen. 2021. On the Receptivity of Employees to Just-in-Time Self-Tracking and eCoaching for Stress Management: A Mixed-Methods Approach. Behaviour & Information Technology 0, 0 (Feb. 2021), 1--27. https://doi.org/10.1080/0144929X.2021.1876764

[53]

Jutao Li, Jiutai Song, Yanqun Huang, Yuzhen Wang, and Jie Zhang. 2021. Effects of Different Interaction Modes on Fatigue and Reading Effectiveness with Mobile Phones. International Journal of Industrial Ergonomics 85 (Sept. 2021), 103189. https://doi.org/10.1016/j.ergon.2021.103189

[54]

Sohye Lim and Hongjin Shim. 2016. Who Multitasks on Smartphones? Smartphone Multitaskers' Motivations and Personality Traits. Cyberpsychology, Behavior, and Social Networking 19, 3 (2016), 223--227.

[55]

Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng xia, Yiqun Liu, Leyu Lin, and Shaoping Ma. 2019. Effects of User Negative Experience in Mobile News Streaming. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'19). Association for Computing Machinery, New York, NY, USA, 705--714. https://doi.org/10.1145/3331184.3331247

Digital Library

[56]

Gloria Mark, Shamsi Iqbal, Mary Czerwinski, and Paul Johns. 2015. Focused, Aroused, but so Distractible: Temporal Perspectives on Multitasking and Communications. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM, Vancouver BC Canada, 903--916. https://doi.org/10.1145/2675133.2675221

Digital Library

[57]

Gloria Mark, Shamsi T. Iqbal, Mary Czerwinski, and Paul Johns. 2014. Bored Mondays and Focused Afternoons: The Rhythm of Attention and Online Activity in the Workplace. 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, 3025--3034. https://doi.org/10.1145/2556288.2557204

Digital Library

[58]

Catherine C. Marshall. 2007. The Gray Lady Gets a New Dress: A Field Study of the Times News Reader. In Proceedings of the 2007 Conference on Digital Libraries - JCDL '07. ACM Press, Vancouver, BC, Canada, 259. https://doi.org/10.1145/1255175.1255226

Digital Library

[59]

Daniel C McFarlane. 1999. Coordinating the Interruption of People in Human-Computer Interaction. In Interact. 295.

[60]

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). Association for Computing Machinery, New York, NY, USA, 1223--1234. https://doi.org/10.1145/2971648.2971747

Digital Library

[61]

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 Press, Osaka, Japan, 813--824. https://doi.org/10.1145/2750858.2807544

Digital Library

[62]

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. ACM, San Jose California USA, 1021--1032. https://doi.org/10.1145/2858036.2858566

Digital Library

[63]

Dorene Asare-Marfo Courtney Kennedy Michael Barthel, Amy Mitchell and Kirsten Worden. 2020. 1. The American public shows mixed familiarity with new and evolving forms of news Pew Research Center: Internet, Science & Tech. https://www.pewresearch.org/journalism/2020/12/08/the-american-public-shows-mixed-familiarity-with-new-and-evolving-forms-of-news/.

[64]

Logan Molyneux. 2018. Mobile News Consumption: A Habit of Snacking. Digital Journalism 6, 5 (May 2018), 634--650. https://doi.org/10.1080/21670811.2017.1334567

[65]

Sungjin Nam, Zoya Bylinskii, Christopher Tensmeyer, Curtis Wigington, Rajiv Jain, and Tong Sun. 2020. Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions. arXiv:2004.12016[cs] (April 2020). arXiv:2004.12016 [cs]

[66]

Jacob L Nelson. 2020. The Persistence of the Popular in Mobile News Consumption. Digital journalism 8, 1 (2020), 87--102.

[67]

Nic Newman. 2016. News Alerts and the Battle for the Lockscreen. University of Oxford (2016).

[68]

Nic Newman, Richard Fletcher, Anne Schulz, Simge Andi, and Rasmus Kleis Nielsen. 2020. Digital News Report 2020. Reuters Institute(2020), 2020--06.

[69]

Heather L. O'Brien, Luanne Freund, and Richard Kopak. 2016. Investigating the Role of User Engagement in Digital Reading Environments. In Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval (CHIIR '16). Association for Computing Machinery, New York, NY, USA, 71--80. https://doi.org/10.1145/2854946.2854973

Digital Library

[70]

B. O'Connail and David Frohlich. 1995. Timespace in the Workplace: Dealing with Interruptions. Proceedings of the Conference Companion on Human Factors in Computing Systems (Jan. 1995), 262--263.

Digital Library

[71]

Kyong Eun Oh and Rong Tang. 2018. How Do University Students Receive, Read, Find, Share, and Store News? A Survey Study on Mobile News Behavior. Journal of Library & Information Studies 16, 1 (2018).

[72]

Tadashi Okoshi, Hiroki Nozaki, Jin Nakazawa, Hideyuki Tokuda, Julian Ramos, and Anind K. Dey. 2016. Towards Attention-Aware Adaptive Notification on Smart Phones. Pervasive and Mobile Computing 26 (Feb. 2016), 17--34. https://doi.org/10.1016/j.pmcj.2015.10.004

Digital Library

[73]

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 Press, Osaka, Japan, 475--486. https://doi.org/10.1145/2750858.2807517

Digital Library

[74]

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. In 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, Kona, Big Island, HI, USA, 100--110. https://doi.org/10.1109/PERCOM.2017.7917856

[75]

Tadashi Okoshi, Kota Tsubouchi, and Hideyuki Tokuda. 2018. Real-World Large-Scale Study on Adaptive Notification Scheduling on Smartphones. Pervasive and Mobile Computing 50 (Oct. 2018), 1--24. https://doi.org/10.1016/j.pmcj.2018.07.005

[76]

Tadashi Okoshi, Kota Tsubouchi, and Hideyuki Tokuda. 2019. Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19). Association for Computing Machinery, New York, NY, USA, 2792--2800. https://doi.org/10.1145/3292500.3330732

Digital Library

[77]

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). Association for Computing Machinery, New York, NY, USA, 541--554. https://doi.org/10.1145/2998181.2998189

Digital Library

[78]

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. ACM, Copenhagen Denmark, 1100--1105. https://doi.org/10.1145/2786567.2794336

Digital Library

[79]

Gordon Pennycook and David G Rand. 2020. Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Journal of personality 88, 2 (2020), 185--200.

[80]

Martin Pielot, Bruno Cardoso, Kleomenis Katevas, Joan Serrà, Aleksandar Matic, and Nuria Oliver. 2017. Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (Sept. 2017), 1--25. https://doi.org/10.1145/3130956

Digital Library

[81]

Benjamin Poppinga, Wilko Heuten, and Susanne Boll. 2014. Sensor-Based Identification of Opportune Moments for Triggering Notifications. IEEE Pervasive Computing 13, 1 (2014), 22--29. https://doi.org/10.1109/MPRV.2014.15

Digital Library

[82]

Kristen Purcell, Lee Rainie, Amy Mitchell, Tom Rosenstiel, and Kenny Olmstead. 2010. Understanding the Participatory News Consumer. Pew Internet and American Life Project 1 (2010), 19--21.

[83]

John W Ratcliff and David E Metzener. 1988. Pattern-Matching-the Gestalt Approach. Dr Dobbs Journal13, 7 (1988),46.

[84]

Akane Sano, Paul Johns, and Mary Czerwinski. 2017. Designing Opportune Stress Intervention Delivery Timing Using Multi-Modal Data. In 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). 346--353. https://doi.org/10.1109/ACII.2017.8273623

[85]

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 ACM, Seattle Washington, 909--920. https://doi.org/10.1145/2632048.2636082

Digital Library

[86]

Hongjin Shim, Kyung Han You, Jeong Kyu Lee, and Eun Go. 2015. Why Do People Access News with Mobile Devices? Exploring the Role of Suitability Perception and Motives on Mobile News Use. Telematics and Informatics 32, 1 (2015), 108--117.

[87]

Hongjin Shim, Kyung Han You, Jeong Kyu Lee, and Eun Go. 2015. Why do people access news with mobile devices? Exploring the role of suitability perception and motives on mobile news use. Telematics and Informatics 32, 1 (2015), 108--117.

[88]

Natalie Jomini Stroud, Cynthia Peacock, and Alexander L Curry. 2020. The Effects of Mobile Push Notifications on News Consumption and Learning. Digital Journalism 8, 1 (2020), 32--48.

[89]

Takahiro Tanaka and Kinya Fujita. 2011. Study of User Interruptibility Estimation Based on Focused Application Switching. In Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work - CSCW '11. ACM Press, Hangzhou, China, 721. https://doi.org/10.1145/1958824.1958954

Digital Library

[90]

Harsh Taneja and Katie Yaeger. 2019. Do People Consume the News they Trust?. In Proceedings of the 2019 CHI Conference on Human Factors in Computing systems. 1--10.

Digital Library

[91]

Robert L Thorndike. 1953. Who Belongs in the Family? Psychometrika 18, 4 (1953), 267--276.

[92]

Eran Toch, Hadas Chassidim, and Tali Hatuka. 2020. Can You Turn It Off?: The Spatial and Social Context of Mobile Disturbance. Proceedings of the ACM on Human-Computer Interaction 4, CSCW2 (Oct. 2020), 1--18. https://doi.org/10.1145/3415162

Digital Library

[93]

J. Gregory Trafton, Erik M Altmann, Derek P Brock, and Farilee E Mintz. 2003. Preparing to Resume an Interrupted Task: Effects of Prospective Goal Encoding and Retrospective Rehearsal. International Journal of Human-Computer Studies 58, 5 (May 2003), 583--603. https://doi.org/10.1016/S1071--5819(03)00023--5

[94]

Liam D. Turner, Stuart M. Allen, and Roger M. Whitaker. 2015. Push or Delay? Decomposing Smartphone Notification Response Behaviour. In Proceedings of the 6th International Workshop on Human Behavior Understanding - Volume 9277. Springer-Verlag, Berlin, Heidelberg, 69--83. https://doi.org/10.1007/978--3--319--24195--1_6

[95]

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 (Sept. 2017), 480--494. https://doi.org/10.1016/j.pmcj.2017.01.011

Digital Library

[96]

Niels Van Berkel, Denzil Ferreira, and Vassilis Kostakos. 2017. The experience sampling method on mobile devices. ACM Computing Surveys (CSUR) 50, 6 (2017), 1--40.

Digital Library

[97]

Kristin Van Damme, Cédric Courtois, Karel Verbrugge, and Lieven De Marez. 2015. What's APPening to News? A Mixed-Method Audience-Centred Study on Mobile News Consumption. Mobile Media & Communication 3, 2 (May 2015), 196--213. https://doi.org/10.1177/2050157914557691

[98]

Jenny Waycott. 2002. Reading with New Tools: An Evaluation of Personal Digital Assistants as Tools for Reading Course Materials. ALT-J10, 2 (Jan. 2002), 38--50. https://doi.org/10.1080/0968776020100205

[99]

Tilo Westermann, Ina Wechsung, and Sebastian Möller. 2016. Smartphone Notifications in Context: A Case Study on Receptivity by the Example of an Advertising Service. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16). Association for Computing Machinery, New York, NY, USA, 2355--2361. https://doi.org/10.1145/2851581.2892383

Digital Library

[100]

Oscar Westlund. 2008. From mobile phone to mobile device: News consumption on the go. Canadian Journal of Communication 33, 3 (2008), 443--464.

[101]

Oscar Westlund. 2015. News Consumption in an Age of Mobile Media: Patterns, People, Place, and Participation.

[102]

Oscar Westlund and Mathias A Färdigh. 2015. Accessing the news in an age of mobile media: Tracing displacing and complementary effects of mobile news on newspapers and online news. Mobile media & communication 3, 1 (2015), 53--74.

[103]

Dawn Wheatley and Raul Ferrer Conill. 2020. The Temporal Nature of Mobile Push Notification Alerts: A Study of European News. (2020).

[104]

Donghee Yvette Wohn and Mousa Ahmadi. 2019. Motivations and Habits of Micro-News Consumption on Mobile Social Media. Telematics and Informatics 44 (Nov. 2019), 101262. https://doi.org/10.1016/j.tele.2019.101262

Digital Library

[105]

Shan Xu, Zheng Wang, and Kelsey Woods. 2019. Multitasking and Dual Motivational Systems: A Dynamic Longitudinal Study. Human Communication Research 45, 4 (2019), 371--394.

[106]

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. ACM, Denver Colorado USA, 5346--5360. https://doi.org/10.1145/3025453.3025946

Digital Library

[107]

Fred R. H. Zijlstra, Robert A. Roe, Anna B. Leonora, and Irene Krediet. 1999. Temporal Factors in Mental Work: Effects of Interrupted Activities. Journal of Occupational and Organizational Psychology 72, 2 (1999), 163--185. https://doi.org/10.1348/0963179991665

Cited By

Ding CZhou JLu KLi SXiong YWan JZhan L(2024)DComp: Efficient Offload of LSM-tree Compaction with Data Processing Units on Disaggregated StorageACM Transactions on Architecture and Code Optimization10.1145/3656584Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3656584
Alvarez JColmenarejo AElobaid AFabbrizzi SFahimi MFerrara AGhodsi SMougan CPapageorgiou IReyero PRusso MScott KState LZhao XRuggieri S(2024)Policy advice and best practices on bias and fairness in AIEthics and Information Technology10.1007/s10676-024-09746-w26:2Online publication date: 29-Apr-2024
https://dl.acm.org/doi/10.1007/s10676-024-09746-w
Ding CZhou JWan JXiong YLi SChen SLiu HTang LZhan LLu KXu P(2023)DComp: Efficient Offload of LSM-tree Compaction with Data Processing UnitsProceedings of the 52nd International Conference on Parallel Processing10.1145/3605573.3605633(233-243)Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1145/3605573.3605633

Index Terms

Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading Modes
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

Recommendations

Not Merely Deemed as Distraction: Investigating Smartphone Users’ Motivations for Notification-Interaction
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Notifications are commonly considered a distraction when they arrive during a task, and consequently, prior research has consistently sought effective ways of deferring their arrival until task transitions. However, many smartphone users still interact ...
Opportune Moments for the Multi-Stage Notification Responding Process: A Preliminary Investigation
UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Notifications are advantageous to users, but they could cause interruptions when appearing at inopportune moments. Research has suggested that multiple stages are possibly involved in the notification responding process, including the phone generating ...
Does Who Matter?: Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

This study examines the characteristics of mobile instant-messaging users' relationships with their social contacts and the effects of both relationship and interruption context on four measures of receptivity: Attentiveness, Responsiveness, ...

Comments

Information & Contributors

Information

Published In

cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 7, Issue MHCI

MHCI

September 2023

1017 pages

EISSN:2573-0142

DOI:10.1145/3624512

Editor:
Jeff Nichols
Apple Inc., United States

Issue’s Table of Contents

Copyright © 2023 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 the author(s) 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: 13 September 2023

Published in PACMHCI Volume 7, Issue MHCI

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

National Science and Technology Council

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
242
Total Downloads

Downloads (Last 12 months)141
Downloads (Last 6 weeks)10

Reflects downloads up to 02 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Ding CZhou JLu KLi SXiong YWan JZhan L(2024)DComp: Efficient Offload of LSM-tree Compaction with Data Processing Units on Disaggregated StorageACM Transactions on Architecture and Code Optimization10.1145/3656584Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3656584
Alvarez JColmenarejo AElobaid AFabbrizzi SFahimi MFerrara AGhodsi SMougan CPapageorgiou IReyero PRusso MScott KState LZhao XRuggieri S(2024)Policy advice and best practices on bias and fairness in AIEthics and Information Technology10.1007/s10676-024-09746-w26:2Online publication date: 29-Apr-2024
https://dl.acm.org/doi/10.1007/s10676-024-09746-w
Ding CZhou JWan JXiong YLi SChen SLiu HTang LZhan LLu KXu P(2023)DComp: Efficient Offload of LSM-tree Compaction with Data Processing UnitsProceedings of the 52nd International Conference on Parallel Processing10.1145/3605573.3605633(233-243)Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1145/3605573.3605633

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents