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Intelligent Notification SystemsAn Overview of Interruptibility Management

Intelligent Notification Systems: An Overview of Interruptibility Management CHAPTER 4 AnOverviewof InterruptibilityManagement 4.1 DEFINITION Information delivered through computing devices often arrives at inopportune moments. This mightadverselyaffectourongoingtasksandpsychologicalstates.Inordertoaddresstheissueof delivering the right information at the right time, researchers and practitioners have proposed various designs for building effective interruption management systems. Interruption manage- mentisaprocessthatcombinestechnology,practicesandpoliciestobuildsolutionsforcontrol- ling interruptions from seeking users’ attention at inopportune moments. The key objective of aninterruptibilitymanagementsystemistohelpuserstoeffectivelyperformtheirprimarytask and make computing devices calm by unobtrusively mediating interruptions [48]. Figure4.1presentsthearchitectureofaninterruptibilitymanagementmechanismentailed in an app. The interruptibility management mechanism handles interruptions from both local and remote notifications. Local notifications are generated through system process and other native apps, and the remote notifications are triggered via the back-end server supporting the app. The interruptibility management system entails an interruptibility model, which is used to drive the delivery of notifications at times that are considered opportune given, for example, the current context of the user and certain characteristics associated with the information to be dispatched. AsshowninFigure4.2,ahighleveloverviewoftheprocesstobuildinterruptibilitymodels consistsofthreesteps:datacollection,modelconstruction,andinterruptibilityprediction.These steps are defined as follows. • Datacollection.Theinterruptibilitymanagementsystemmonitorstheinteractionofusers with notifications they receive on their device (e.e., a mobile phone). Along with the no- tification interaction data, it also collects users’ contextual information that is associated withthem.Thetypeofinformationthatiscollecteddependsonthetypeofinterruptibility modelitself.Therearedifferenttypesofdatasourcesthatcanbeusedtobuildthesemodels as discussed later in this section. • Modelconstruction. The collected data is analyzed http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Intelligent Notification SystemsAn Overview of Interruptibility Management

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-031-01359-1
Pages
17 –20
DOI
10.1007/978-3-031-02487-0_4
Publisher site
See Chapter on Publisher Site

Abstract

CHAPTER 4 AnOverviewof InterruptibilityManagement 4.1 DEFINITION Information delivered through computing devices often arrives at inopportune moments. This mightadverselyaffectourongoingtasksandpsychologicalstates.Inordertoaddresstheissueof delivering the right information at the right time, researchers and practitioners have proposed various designs for building effective interruption management systems. Interruption manage- mentisaprocessthatcombinestechnology,practicesandpoliciestobuildsolutionsforcontrol- ling interruptions from seeking users’ attention at inopportune moments. The key objective of aninterruptibilitymanagementsystemistohelpuserstoeffectivelyperformtheirprimarytask and make computing devices calm by unobtrusively mediating interruptions [48]. Figure4.1presentsthearchitectureofaninterruptibilitymanagementmechanismentailed in an app. The interruptibility management mechanism handles interruptions from both local and remote notifications. Local notifications are generated through system process and other native apps, and the remote notifications are triggered via the back-end server supporting the app. The interruptibility management system entails an interruptibility model, which is used to drive the delivery of notifications at times that are considered opportune given, for example, the current context of the user and certain characteristics associated with the information to be dispatched. AsshowninFigure4.2,ahighleveloverviewoftheprocesstobuildinterruptibilitymodels consistsofthreesteps:datacollection,modelconstruction,andinterruptibilityprediction.These steps are defined as follows. • Datacollection.Theinterruptibilitymanagementsystemmonitorstheinteractionofusers with notifications they receive on their device (e.e., a mobile phone). Along with the no- tification interaction data, it also collects users’ contextual information that is associated withthem.Thetypeofinformationthatiscollecteddependsonthetypeofinterruptibility modelitself.Therearedifferenttypesofdatasourcesthatcanbeusedtobuildthesemodels as discussed later in this section. • Modelconstruction. The collected data is analyzed

Published: Jan 1, 2020

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