Self-Adaptive Program Guide for Multi-User Set Top Boxes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for personalizing media content listings in multi-user households are often complex and require significant user involvement, failing to dynamically adapt to individual user preferences and viewing habits.
Innovation Solution
A media access device, such as a set-top box or DVR, optimizes content listings by using past viewing history to prioritize content choices and recording requests specific to the current user, employing user identification methods like voice recognition and biometrics to tailor the content display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing methods are used to personalize media content listings, then user-specific content prioritization is achieved, but system complexity and user setup involvement increase significantly
Solution Approach 1:
The system automatically detects user presence through cameras and microphones, logs viewing history, and dynamically generates personalized program guides without requiring manual user configuration. The device serves itself by collecting data and adapting content listings autonomously
Solution Approach 2:
The system pre-logs viewing history and user preferences in advance, building personalized profiles proactively so that when a user accesses the program guide, the content is already optimized for their preferences without requiring real-time setup
2Adaptability or versatility
If manual user configuration is required for personalization, then user preferences can be captured, but ease of operation deteriorates due to setup complexity
Solution Approach 1:
The system automatically detects user presence through cameras and microphones, logs viewing history, and dynamically generates personalized program guides without requiring manual user configuration. The device serves itself by collecting data and adapting content listings autonomously
Solution Approach 2:
The system continuously monitors user viewing behavior and provides feedback by automatically adjusting content listings to reflect observed preferences, creating a closed-loop system that learns and adapts without user intervention
3Adaptability or versatility
If viewing history is logged for multiple users, then dynamic personalization is enabled, but data processing complexity increases
Solution Approach 1:
The system separates user identification, viewing history logging, and content listing generation into distinct functional modules. Each user's data is processed independently through the same streamlined pipeline, reducing overall system complexity while enabling multi-user personalization
Data Source
AI summary
A programming access device such as, for example, a cable or satellite set top box (STB), a digital video recorder (DVR), a personal computer, and/or a digital media receiver automatically optimizes an order of content choices presented in a content listing, such as a program guide display, favorite channel display, and/or a recording listing display based on the past viewing and/or recording history of an identified user.


