PRISER: Managing Notification in Multiples Devices with Data Privacy Support

Area of Science:

• Computer Science
• Human-Computer Interaction
• Information Management

Background:

• The proliferation of smart devices generates a high volume of daily notifications.
• Increasing notification load can lead to user overload and decreased tolerance.
• Effective management systems are needed to handle diverse information from interconnected devices.

Purpose of the Study:

• To propose a novel notification and alert management system named PRISER.
• To focus on user profiles and environmental context for personalized notification control.
• To integrate data privacy criteria into the notification management framework.

Main Methods:

• Development of the PRISER system architecture.
• Implementation of user profiling mechanisms.
• Integration of environmental context awareness.
• Application of data privacy principles in alert filtering and delivery.

Main Results:

• PRISER effectively manages notification flow based on user profiles.
• Environmental context significantly influences notification relevance and delivery.
• Data privacy criteria are successfully applied, enhancing user control.
• Demonstrated reduction in notification overload for users.

Conclusions:

• PRISER offers a robust solution for managing the increasing volume of device notifications.
• Personalized and context-aware notification management improves user experience.
• Prioritizing data privacy is essential for user trust in smart environments.