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About this book
Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users.
In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.
Table of contents (8 chapters)
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Bibliographic Information
Book Title: Intelligent Notification Systems
Authors: Abhinav Mehrotra, Mirco Musolesi
Series Title: Synthesis Lectures on Mobile & Pervasive Computing
DOI: https://doi.org/10.1007/978-3-031-02487-0
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 9
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-031-01359-1Published: 03 January 2020
eBook ISBN: 978-3-031-02487-0Published: 01 June 2022
Series ISSN: 1933-9011
Series E-ISSN: 1933-902X
Edition Number: 1
Number of Pages: XII, 64
Topics: Mathematics, general, Engineering, general, Mobile Computing, Cyber-physical systems, IoT, User Interfaces and Human Computer Interaction