Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3282894.3282917acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmumConference Proceedingsconference-collections
research-article

Reading Scheduler: Proactive Recommendations to Help Users Cope with Their Daily Reading Volume

Published: 25 November 2018 Publication History

Abstract

To help deal with daily reading volumes, we present Reading Scheduler, a smartphone application linked to people's reading list, which triggers reading reminders throughout the day. The app suggests articles according to their length, complexity, and the time available for reading as indicated by the user. In a field study, we collected usage data from ten participants over the course of two weeks. During this time, we recorded mobile sensor data and trained a classifier to detect opportune moments for reading. Participants read 182 articles while we collected 787,752 sensor data points. Together with an assessment of the feasibility of proactive reading suggestions, we present a prediction model with close to 73% accuracy, that can be used to build mobile recommender systems for utilizing idle moments for reading throughout the user's day.

References

[1]
Annette Adler, Anuj Gujar, Beverly L. Harrison, Kenton O'Hara, and Abigail Sellen. 1998. A Diary Study of Work-related Reading: Design Implications for Digital Reading Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '98). ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 241--248.
[2]
Sunny Consolvo and Miriam Walker. 2003. Using the experience sampling method to evaluate ubicomp applications. IEEE Pervasive Computing 2, 2 (2003), 24--31.
[3]
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 (MobileHCI '15). ACM, New York, NY, USA, 457--462.
[4]
Anind K Dey, Katarzyna Wac, Denzil Ferreira, Kevin Tassini, Jin H Hong, and Julian Ramos. 2011. Getting closer: an empirical investigation of the proximity of user to their smart phones. In Proceedings of the 13th international conference on Ubiquitous computing. 163-172.
[5]
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.
[6]
John D Eastwood, Alexandra Frischen, Mark J Fenske, and Daniel Smilek. 2012. The unengaged mind defining boredom in terms of attention. Perspectives on Psychological Science 7, 5 (2012), 482--495.
[7]
Michael D. Ekstrand, Praveen Kannan, James A. Stemper, John T. Butler, Joseph A. Konstan, and John T. Riedl. 2010. Automatically Building Research Reading Lists. In Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys '10). ACM, New York, NY, USA, 159--166.
[8]
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.
[9]
Qi Guo, Eugene Agichtein, Charles LA Clarke, and Azin Ashkan. 2009. In the Mood to Click? Towards Inferring Receptiveness to Search Advertising. In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Vol. 1. 319-324.
[10]
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. 2009. The WEKA Data Mining Software: An Update. SIGKDD Explor. Newsl. 11, 1 (Nov. 2009), 10--18.
[11]
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.
[12]
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, New York, NY, USA, 27--30.
[13]
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 (IUI '15). ACM, New York, NY, USA, 296--299.
[14]
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 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 3025--3034.
[15]
Jennifer Pearson, George Buchanan, and Harold Thimbleby. 2011. The Reading Desk: Applying Physical Interactions to Digital Documents. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 3199--3202.
[16]
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.
[17]
Michael I. Posner. 1982. Cumulative development of attentional theory. American Psychologist 37, 2 (1982), 168--179.
[18]
Luz Rello and Ricardo Baeza-Yates. 2014. Evaluation of DysWebxia: A Reading App Designed for People with Dyslexia. In Proceedings of the 11th Web for All Conference (W4A '14). ACM, New York, NY, USA, Article 10, 10 pages.
[19]
RJ Senter and EA Smith. 1967. Automated readability index. Technical Report. DTIC Document.
[20]
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 (CHI EA '14). ACM, New York, NY, USA, 1735--1740.
[21]
Bo-Wen Zhang, Xu-Cheng Yin, Fang Zhou, and Jian-Lin Jin. 2017. Building Your Own Reading List Anytime via Embedding Relevance, Quality, Timeliness and Diversity. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17). ACM, New York, NY, USA, 1109--1112.

Cited By

View all
  • (2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
  • (2024)Peer-Awareness to Support Learning: An In-the-wild Study on Notification TimingCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677576(14-18)Online publication date: 5-Oct-2024
  • (2023)Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading ModesProceedings of the ACM on Human-Computer Interaction10.1145/36042687:MHCI(1-26)Online publication date: 13-Sep-2023
  • Show More Cited By

Index Terms

  1. Reading Scheduler: Proactive Recommendations to Help Users Cope with Their Daily Reading Volume

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      MUM '18: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia
      November 2018
      548 pages
      ISBN:9781450365949
      DOI:10.1145/3282894
      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 ACM 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: 25 November 2018

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Mobile Reading
      2. Reading Context
      3. Reading Scheduler

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Funding Sources

      • 7th Framework Programme for Research of the European Commission
      • JST CREST

      Conference

      MUM 2018

      Acceptance Rates

      MUM '18 Paper Acceptance Rate 37 of 82 submissions, 45%;
      Overall Acceptance Rate 190 of 465 submissions, 41%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)10
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 20 Nov 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
      • (2024)Peer-Awareness to Support Learning: An In-the-wild Study on Notification TimingCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677576(14-18)Online publication date: 5-Oct-2024
      • (2023)Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading ModesProceedings of the ACM on Human-Computer Interaction10.1145/36042687:MHCI(1-26)Online publication date: 13-Sep-2023
      • (2023)Not Merely Deemed as Distraction: Investigating Smartphone Users’ Motivations for Notification-InteractionProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581146(1-17)Online publication date: 19-Apr-2023
      • (2023)Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and ScreenshotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580689(1-19)Online publication date: 19-Apr-2023
      • (2022)Designing for Continuous Interaction with Artificial Intelligence SystemsExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3516409(1-4)Online publication date: 27-Apr-2022
      • (2022)A Retrospective and a Look Forward: Lessons Learned From Researching Emotions In-the-WildIEEE Pervasive Computing10.1109/MPRV.2021.310627221:1(28-36)Online publication date: 1-Jan-2022
      • (2021)Killing-Time Detection from Smartphone ScreenshotsAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479295(15-16)Online publication date: 21-Sep-2021
      • (2021)I’m Interested, but Can/Would Only Skim It: Studying Smartphone Users’ Receptivity to News NotificationsAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479292(32-33)Online publication date: 21-Sep-2021
      • (2021)Aiki - Turning Online Procrastination into MicrolearningProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445202(1-13)Online publication date: 6-May-2021
      • Show More Cited By

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media