Audience-Based Content Customization via Biometric Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Content-delivery devices, such as televisions and monitors, lack the ability to customize content based on individual users' preferences and traits, failing to recognize and adapt to the emotional states and attentiveness of users, leading to a one-size-fits-all content delivery experience.
Innovation Solution
A system that identifies users and their emotional states through gesture, facial, and voice recognition engines, allowing for personalized content delivery based on user preferences, mood, and attentiveness, adjusting content presentation accordingly, including changing devices when others enter the room.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content-delivery devices provide the same content to all users, then device complexity is reduced and ease of operation is improved, but adaptability to individual users deteriorates
Solution Approach 1:
The system segments users into different profiles with distinct preferences, emotional states, and traits. Each user profile contains customized content preferences, allowing the device to deliver tailored content to each segment while maintaining a unified device interface. This resolves the contradiction by enabling customization without increasing operational complexity for the user.
Solution Approach 2:
The system automatically detects user emotional states, identifies users, and selects customized content without requiring manual user input. The device serves itself by monitoring user presence, analyzing emotional states through sensors, and autonomously delivering appropriate content. This maintains ease of operation while achieving high adaptability.
2Adaptability or versatility
If the system recognizes and customizes content based on user identity and emotional state, then adaptability and user engagement are improved, but device complexity increases
Solution Approach 1:
The system merges multiple detection functions (user identification, emotional state detection, attentiveness monitoring) into a unified content delivery framework. By combining these functions into a single integrated system that operates autonomously, the patent achieves high adaptability without proportionally increasing operational complexity. The merged system handles all customization tasks through a coordinated approach rather than separate complex mechanisms.
3Loss of information
If the system monitors user emotional state and attentiveness in real-time, then content relevance is improved, but use of energy increases
Solution Approach 1:
The system employs periodic sampling of user emotional states and attentiveness rather than continuous monitoring. Sensors detect user presence and emotional indicators at intervals, allowing the system to update content recommendations periodically based on current user states. This approach maintains effective user state awareness while significantly reducing energy consumption compared to continuous real-time monitoring.
Data Source
AI summary
A system and method are disclosed for delivering content customized to the specific user or users interacting with the system. The system includes one or more modules for recognizing an identity of a user. These modules may include for example a gesture recognition engine, a facial recognition engine, a body language recognition engine and a voice recognition engine. The user may also be carrying a mobile device such as a smart phone which identifies the user. One or more of these modules may cooperate to identify a user, and then customize the user's content based on the user's identity. In particular, the system receives user preferences indicating the content a user wishes to receive and the conditions under which it is to be received. Based on the user preferences and recognition of a user identity and/or other traits, the system presents content customized for a particular user.