Multi-User Program Guide Personalization With Automatic User Recognition
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Solution Overview
Problem
Existing methods for personalizing media content listings in multi-user systems are complicated 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, automatically optimizes content listings based on past viewing history and user identification, prioritizing entries related to the current user's recording requests and viewing habits, using biometric or smart device recognition to identify users and adjust display order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing methods are used to personalize program guide 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 biometric sensors (camera for facial recognition, microphone for voice recognition) and autonomously configures personalized program guide listings without requiring manual user setup. The device serves itself by identifying users and adapting content presentation based on detected characteristics, eliminating the need for complex user configuration procedures.
Solution Approach 2:
The patent replaces manual configuration mechanisms with automated biometric recognition systems. Instead of requiring users to manually set up their profiles and preferences through complex menus and settings, the system uses optical (camera) and acoustic (microphone) fields to automatically identify users and configure personalized content displays, substituting mechanical interaction with field-based detection.
2Adaptability or versatility
If manual user configuration is required for personalization, then user preferences can be captured, but ease of operation deteriorates due to complicated setup procedures
Solution Approach 1:
The system performs self-configuration by automatically detecting user presence through biometric sensors and autonomously setting up personalized program guide listings. Users simply need to be present for the system to identify them via facial or voice recognition, eliminating the need for manual configuration steps and making the setup process trivially simple while maintaining full personalization capability.
Solution Approach 2:
The system performs user identification and preference configuration in advance, before the user needs to access personalized content. By continuously monitoring for user presence through biometric sensors and pre-configuring the program guide listings based on detected users, the system ensures personalization is already in place when users interact with the device, eliminating setup delays.
3Extent of automation
If biometric recognition systems are implemented, then automatic user identification improves, but device complexity increases
Solution Approach 1:
The patent integrates multiple biometric recognition capabilities (facial recognition via camera, voice recognition via microphone) into a single unified user identification system. These sensors serve dual purposes: they identify users for personalization and also detect user presence for various other system functions, reducing overall device complexity by making the biometric components multi-functional rather than adding separate specialized hardware for each function.
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 receivers automatically optimizes an order of or filters 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 a current user or group of users.