國立虎尾科技大學 |

Intelligent notification systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent notification systems // Abhinav Mehrotra, Mirco Musolesi.
Author:	Mehrotra, Abhinav,
other author:	Musolesi, Mirco,
Description:	1 PDF (xiii, 61 pages) :illustrations. :
Notes:	Part of: Synthesis digital library of engineering and computer science.
Subject:	Real-time data processing. -
Online resource:	https://ieeexplore.ieee.org/servlet/opac?bknumber=8950308
Online resource:	https://doi.org/10.2200/S00965ED1V01Y201911MPC014
ISBN:	9781681737201

Intelligent notification systems /
Mehrotra, Abhinav,

Intelligent notification systems /Abhinav Mehrotra, Mirco Musolesi. - 1 PDF (xiii, 61 pages) :illustrations. - Synthesis lectures on mobile and pervasive computing,#141933-902X ;. - Synthesis digital library of engineering and computer science..

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 51-60).

1. Introduction -- 1.1. Mobile notifications -- 1.2. Issues with mobile notifications -- 1.3. Solutions for interruptibility management

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Compendex

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.

Mode of access: World Wide Web.

ISBN: 9781681737201

Standard No.: 10.2200/S00965ED1V01Y201911MPC014doiSubjects--Topical Terms:

568181
Real-time data processing.
Subjects--Index Terms:

notification systems

LC Class. No.: QA76.54 / .M455 2020eb

Dewey Class. No.: 004/.33

Intelligent notification systems /
LDR:05149nam 2200637 i 4500 001 959784
003 IEEE
005 20200126190106.0
006 m eo d
007 cr bn |||m|||a
008 201209s2020 paua ob 000 0 eng d
020 $a 9781681737201 $q electronic
020 $a 9781681737645 $q epub
020 $z 9781681737218 $q hardcover
020 $z 9781681737195 $q paperback
024 7 $a 10.2200/S00965ED1V01Y201911MPC014 $2 doi
035 $a (CaBNVSL)thg00980003
035 $a (OCoLC)1135668765
035 $a 8950308
040 $a CaBNVSL $b eng $e rda $c CaBNVSL $d CaBNVSL
050 4 $a QA76.54 $b .M455 2020eb
082 0 4 $a 004/.33 $2 23
100 1 $a Mehrotra, Abhinav, $e author. $3 1253151
245 1 0 $a Intelligent notification systems / $c Abhinav Mehrotra, Mirco Musolesi.
264 1 $a [San Rafael, California] : $b Morgan & Claypool, $c [2020]
300 $a 1 PDF (xiii, 61 pages) : $b illustrations.
336 $a text $2 rdacontent
337 $a electronic $2 isbdmedia
338 $a online resource $2 rdacarrier
490 1 $a Synthesis lectures on mobile and pervasive computing, $x 1933-902X ; $v #14
500 $a Part of: Synthesis digital library of engineering and computer science.
504 $a Includes bibliographical references (pages 51-60).
505 0 $a 1. Introduction -- 1.1. Mobile notifications -- 1.2. Issues with mobile notifications -- 1.3. Solutions for interruptibility management
505 8 $a 2. Interruptions -- 2.1. Definitions of interruptions from different research fields -- 2.2. Types of interruptions -- 2.3. Definition of interruptions in context of this lecture -- 2.4. Sources of interruptions
505 8 $a 3. Cost of interruption -- 3.1. Impact on memory -- 3.2. Impact on ongoing task performance -- 3.3. Impact on users' emotional state -- 3.4. Impact on user experience -- 3.5. Individual differences in perceiving disruption from interruptions -- 3.6. Summary
505 8 $a 4. An Overview of interruptibility management -- 4.1. Definition -- 4.2. Key dimensions for the design of interruptibility management systems
505 8 $a 5. Interruptibility management in desktop environments -- 5.1. Interruptibility management by exploiting task-related information -- 5.2. Interruptibility management by using contextual data -- 5.3. Summary
505 8 $a 6. Interruptibility management in mobile environments -- 6.1. Understanding users' perception toward interruptions caused by mobile notifications -- 6.2. Designing interruptibility management systems for delivering the right information at the right time -- 6.3. Designing interruptibility management systems for multi-device environments -- 6.4. Interruptibility management--an alternative approach for context-aware assistive apps -- 6.5. Summary
505 8 $a 7. Limitations of the state of the art and open challenges -- 7.1. Deferring notifications -- 7.2. Monitoring cognitive context -- 7.3. Learning "good" behavior : interruptions for positive behavior intervention -- 7.4. Modeling for multiple devices -- 7.5. Need for large-scale studies -- 8. Summary.
506 $a Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 $a Compendex
510 0 $a INSPEC
510 0 $a Google scholar
510 0 $a Google book search
520 $a 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.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Title from PDF title page (viewed on January 26, 2020).
650 0 $a Real-time data processing. $3 568181
650 0 $a Data transmission systems. $3 563694
653 $a notification systems
653 $a interruptibility
653 $a context-aware computing
653 $a anticipatory computing
653 $a intelligent mobile systems
653 $a intelligent user interfaces
700 1 $a Musolesi, Mirco, $e author. $3 1253152
776 0 8 $i Print version: $z $z 9781681737218 $z 9781681737195
830 0 $a Synthesis digital library of engineering and computer science. $3 598254
830 0 $a Synthesis lectures on mobile and pervasive computing ; $v #10. $3 866824
856 4 2 $3 Abstract with links to resource $u https://ieeexplore.ieee.org/servlet/opac?bknumber=8950308
856 4 0 $3 Abstract with links to full text $u https://doi.org/10.2200/S00965ED1V01Y201911MPC014