Context-Aware Content Delivery System for Mobile Scheduling
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Solution Overview
Problem
Mobile devices are ineffective in helping working professionals manage their busy schedules and responsibilities, as they cannot learn user behavior or determine the best time to provide information or entertainment, failing to account for users' activities and contexts.
Innovation Solution
A computing device that processes contextual information to associate user activities with predefined trigger conditions, allowing for personalized content delivery based on user-defined contexts and activities, enabling the selection and presentation of relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile devices provide information and content to users, then users can access information and entertainment, but users cannot effectively manage their busy schedules and responsibilities because the devices do not understand user behavior or context
Solution Approach 1:
The system performs preliminary actions by having users define trigger conditions and associated content in advance. The context manager continuously monitors contextual information (time, location, activity) and automatically delivers pre-prepared content when trigger conditions are met, eliminating the need for users to manually manage their schedules while the system learns their behavior patterns over time.
Solution Approach 2:
The mobile device serves itself by automatically monitoring its own contextual information (sensor data, location, time) and autonomously delivering appropriate content based on predefined trigger conditions. The system learns user behavior patterns and adapts content delivery without requiring constant user intervention, making the device self-aware of its usage context.
2Measurement precision
If mobile devices continuously monitor user activities and contextual information, then personalized content delivery is achieved, but energy consumption and processing resources increase
Solution Approach 1:
The context manager implements partial monitoring by selectively tracking only the contextual information parameters that are relevant to user-defined trigger conditions. Instead of continuously monitoring all possible sensors and data sources, the system monitors only the necessary subset (e.g., time, location, or specific activity indicators) based on what the user has configured, reducing energy consumption while maintaining accurate context detection for personalized content delivery.
Data Source
AI summary
One embodiment of the present invention provides a computing device that delivers personally-defined context-based content to a user. This computing device receives a set of contextual information with respect to the user, and processes the contextual information to determine a context which is associated with an activity being performed by the user. The computing device then determines whether either or both the context and a current activity of the user satisfy a trigger condition which has been previously defined by the user. If so, the computing device selects content from a content database, based on the context, to present to the user, and presents the selected content.