research-article

PrefMiner: mining user's preferences for intelligent mobile notification management

Authors:

Abhinav Mehrotra,

Robert Hendley,

Mirco MusolesiAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 1223 - 1234

https://doi.org/10.1145/2971648.2971747

Published: 12 September 2016 Publication History

Abstract

Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users' interests and, also for this reason, they are considered disruptive and potentially annoying.

In this paper we present the design, implementation and evaluation of PrefMiner, a novel interruptibility management solution that learns users' preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. The goal is to build a system that is intelligible for users, i.e., not just a "black-box" solution. Rules are shown to users who might decide to accept or discard them at run-time. The design of PrefMiner is based on a large scale mobile notification dataset and its effectiveness is evaluated by means of an in-the-wild deployment.

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Cited By

Almari RAlmosallam AAlmousa SAlahmadi S(2024)Protecting Instant Messaging Notifications against Physical Attacks: A Novel Instant Messaging Notification Protocol Based on Signal ProtocolApplied Sciences10.3390/app1414634814:14(6348)Online publication date: 21-Jul-2024
https://doi.org/10.3390/app14146348
Lee LHall RStanley JKrebs J(2024)Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods StudyJMIR mHealth and uHealth10.2196/5207412(e52074-e52074)Online publication date: 15-Apr-2024
https://doi.org/10.2196/52074
Lin YSu LChen ULee YWang PChang Y(2024)Pinning, Sorting, and Categorizing Notifications: A Mixed-methods Usage and Experience Study of Mobile Notification-management FeaturesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785798:3(1-27)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678579
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Index Terms

PrefMiner: mining user's preferences for intelligent mobile notification management
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2016

1288 pages

ISBN:9781450344616

DOI:10.1145/2971648

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Copyright © 2016 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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Published: 12 September 2016

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Engineering and Physical Sciences Research Council

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UbiComp '16

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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UbiComp '16 Paper Acceptance Rate 101 of 389 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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https://doi.org/10.3390/app14146348
Lee LHall RStanley JKrebs J(2024)Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods StudyJMIR mHealth and uHealth10.2196/5207412(e52074-e52074)Online publication date: 15-Apr-2024
https://doi.org/10.2196/52074
Lin YSu LChen ULee YWang PChang Y(2024)Pinning, Sorting, and Categorizing Notifications: A Mixed-methods Usage and Experience Study of Mobile Notification-management FeaturesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785798:3(1-27)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678579
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
Chang TSu LLin YTsai JTang ZChang Y(2024)"I Want Lower Tone for Work-Related Notifications": Exploring the Effectiveness of User-Assigned Notification Alerts in Improving User Speculation of and Attendance to Mobile NotificationsProceedings of the ACM on Human-Computer Interaction10.1145/36765128:MHCI(1-25)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676512
Chen YWoodward JBista DZhang XSingh IObajemu OShankar MRoss KRuiz JAnthony L(2024)Investigating Contextual Notifications to Drive Self-Monitoring in mHealth Apps for Weight MaintenanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641993(1-21)Online publication date: 11-May-2024
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Visuri AVan Berkel NTag B(2023)Wellbeing Insights in a Data-Driven Future2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU58504.2023.10412212(1-7)Online publication date: 29-Nov-2023
https://doi.org/10.23919/ICMU58504.2023.10412212
Sharifi HChattopadhyay D(2023)Senior Technology Learning Preferences Model for Mobile TechnologyProceedings of the ACM on Human-Computer Interaction10.1145/36042697:MHCI(1-39)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604269
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
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Yan ZWu YLuo DZhang CJin QChen WWu YChen XWang GMi H(2023)NaCanva: Exploring and Enabling the Nature-Inspired Creativity for ChildrenProceedings of the ACM on Human-Computer Interaction10.1145/36042627:MHCI(1-25)Online publication date: 13-Sep-2023
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