Dynamic Programming Guide Mosaic Screen Personalization
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Solution Overview
Problem
Current television programming guides and mosaics are static and not tailored to individual user preferences, making them less appealing and limiting in usage, as they are often genre-based and manually selected.
Innovation Solution
The automatic population of a programming guide mosaic screen with recommended content items based on user attributes, such as favorite channels, high-rated content, and commonly watched genres, dynamically updated according to viewing activity and preferences, allowing for personalized and interactive content selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mosaic screens use static, preset channels or genre-based displays, then the system complexity is reduced and ease of operation is improved, but user engagement and relevance are worsened due to lack of personalization
Solution Approach 1:
The system automatically collects user attributes, analyzes viewing preferences, and populates the mosaic screen with personalized content without requiring manual user configuration. The mosaic dynamically adapts to user behavior patterns, eliminating the need for users to manually select or organize channels while delivering personalized content.
Solution Approach 2:
The mosaic screen transitions from a static display of preset channels to a dynamic, adaptive interface that automatically reconfigures based on real-time user attributes, viewing history, and preference data. The content selection and arrangement change dynamically as user behavior evolves.
2Device complexity
If mosaic screens are manually selected or preset by genre, then device complexity is reduced, but user engagement is worsened due to limited usage and appeal
Solution Approach 1:
The system autonomously performs content selection, categorization, and mosaic population based on user attributes and viewing patterns, eliminating manual configuration requirements while delivering highly personalized content that increases user engagement and utilization.
Solution Approach 2:
The system continuously monitors user viewing activity, preferences, and interactions with the mosaic screen, using this feedback to automatically refine content selection and personalize the display. This closed-loop approach enables the system to adapt to changing user preferences without increasing operational complexity.
3Adaptability or versatility
If the mosaic screen is automatically populated with personalized content, then adaptability and user engagement are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system automatically collects user attributes from multiple sources, analyzes viewing patterns, and generates personalized mosaic content without requiring manual intervention. This self-service approach handles the complexity of data collection, processing, and content generation autonomously.
Solution Approach 2:
The mosaic screen system integrates multiple functions including content recommendation, user profile management, viewing history analysis, and dynamic display configuration into a single unified platform, managing complexity through functional integration rather than separate systems.
4Ease of operation
If the mosaic screen remains static with preset channels, then ease of operation is maintained, but loss of information about user preferences is worsened
Solution Approach 1:
The system continuously collects and processes feedback from user viewing behavior, preferences, and interactions with the mosaic screen. This feedback loop enables the system to capture, analyze, and utilize user preference information dynamically, preventing loss of valuable user data while maintaining operational simplicity.
Solution Approach 2:
The system automatically captures and stores user preference information through passive monitoring of viewing patterns and active tracking of user selections, eliminating the need for users to manually input preference data while ensuring comprehensive preference information is retained and utilized.
Data Source
AI summary
Automatic population of a programming guide mosaic screen is provided. Attributes relating to a user or group of users may be collected and utilized to identify one or more recommended content items relevant to the user. A visual display of the recommended content may comprise a combination of content currently airing on a channel selected by the user as a favorite channel, content rated highly by the user and/or by other users, content matching a commonly watched genre by the user, content associated with keyword searches, etc. Factors utilized to determine the type of content to automatically include in the programming guide mosaic screen may be dynamically updated according to changes in video viewing activity, received feedback, content purchases, or changes made to the user's preference data.