research-article

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

Authors:

Tilman Dingler,

Sabrina Lehrer,

Albrecht SchmidtAuthors Info & Claims

MUM '18: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia

Pages 239 - 244

https://doi.org/10.1145/3282894.3282917

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.

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Cited By

Lee YWu MChang CChang XChang Y(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
https://dl.acm.org/doi/10.1145/3676514
Iwashita YKurashige RVargo ATag BDingler TIwata MKise KKostakos VKay JHoang T(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
https://dl.acm.org/doi/10.1145/3675094.3677576
Lin CWu CHuang PLai YHo YChung CChang Y(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
https://dl.acm.org/doi/10.1145/3604268
Show More Cited By

Index Terms

Reading Scheduler: Proactive Recommendations to Help Users Cope with Their Daily Reading Volume
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)

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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

Copyright © 2018 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 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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2018

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Research-article
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Refereed limited

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

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MUM 2018

MUM 2018: 17th International Conference on Mobile and Ubiquitous Multimedia

November 25 - 28, 2018

Cairo, Egypt

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MUM '18 Paper Acceptance Rate 37 of 82 submissions, 45%;

Overall Acceptance Rate 190 of 465 submissions, 41%

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Cited By

Lee YWu MChang CChang XChang Y(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
https://dl.acm.org/doi/10.1145/3676514
Iwashita YKurashige RVargo ATag BDingler TIwata MKise KKostakos VKay JHoang T(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
https://dl.acm.org/doi/10.1145/3675094.3677576
Lin CWu CHuang PLai YHo YChung CChang Y(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
https://dl.acm.org/doi/10.1145/3604268
Chang XHsu FLiang EChiou ZChuang HTseng FLin YChang Y(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
https://dl.acm.org/doi/10.1145/3544548.3581146
Chen YLee YKao KTsai JLiang EChiu WShih FChang Y(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
https://dl.acm.org/doi/10.1145/3544548.3580689
Wintersberger Pvan Berkel NFereydooni NTag BGlassman EBuschek DBlandford AMichahelles F(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
https://dl.acm.org/doi/10.1145/3491101.3516409
Tag BGoncalves JWebber SKoval PKostakos V(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
https://doi.org/10.1109/MPRV.2021.3106272
Chen YKao KLee YShih FChiu WChang Y(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
https://dl.acm.org/doi/10.1145/3460418.3479295
Huang PWu CLai YLin CChang Y(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
https://dl.acm.org/doi/10.1145/3460418.3479292
Inie NLungu MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(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
https://dl.acm.org/doi/10.1145/3411764.3445202
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