1.2 Issues with Mobile Notifications
1.3 Solutions for Interruptibility Management
2.1 Definitions of Interruptions from Different Research Fields
2.3 Definition of Interruptions in Context of this Lecture
2.4.1 Interruptions in Human-Human Discourse
2.4.2 Interruptions in Human-Computer Interaction
3.2 Impact on Ongoing Task Performance
3.3 Impact on Users’ Emotional State
3.5 Individual Differences in Perceiving Disruption from Interruptions
4 An Overview of Interruptibility Management
4.2 Key Dimensions for the Design of Interruptibility Management Systems
4.2.1 Delivering Right Information at the Right Time
4.2.2 Delivering Information Through the Right Medium
5 Interruptibility Management in Desktop Environments
5.1 Interruptibility Management by Exploiting Task-Related Information
5.2 Interruptibility Management by Using Contextual Data
6 Interruptibility Management in Mobile Environments
6.1 Understanding Users’ Perception Toward Interruptions Caused by Mobile Notifications
6.2.1 Interruptibility Management by Using Current Activity
6.2.2 Interruptibility Management by Using the Transition Between Activities
6.2.3 Interruptibility Management by Using Contextual Data
6.2.4 Interruptibility Management by Filtering Irrelevant Information
6.3 Designing Interruptibility Management Systems for Multi-Device Environments
6.4 Interruptibility Management—An Alternative Approach for Context-Aware Assistive Apps
7 Limitations of the State of the Art and Open Challenges
7.2 Monitoring Cognitive Context
7.3 Learning “Good” Behavior: Interruptions for Positive Behavior Intervention
7.4 Modeling for Multiple Devices