AI Terminal Personalization Using Age-Based Content Templates
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Solution Overview
Problem
Existing electronic devices fail to customize content generation and playback based on user-specific preferences, particularly in terms of age, gender, and personality traits, leading to unsuitable or unengaging content for diverse audiences.
Innovation Solution
A user-specific electronic terminal device utilizing generative artificial intelligence models, such as large language models, generates content tailored to user profiles, considering age, preferences, and feedback, with adaptable narrative styles, acoustic, optical, and haptic reproduction, and allowing user input during playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is generated using a generative model without user-specific customization, then content generation speed and quantity are improved, but content suitability and user engagement deteriorate
Solution Approach 1:
The system performs preliminary actions by collecting user data (age, preferences, feedback) before content generation and creates a user-specific template in advance. This template guides the generative model to produce personalized content without requiring real-time customization, thus maintaining generation speed while improving suitability.
Solution Approach 2:
The user-specific template is dynamically updated based on user feedback and changing preferences. The system adapts the template over time to reflect evolving user interests, ensuring content remains suitable and engaging while maintaining efficient generation through the structured template approach.
2Adaptability or versatility
If user-specific templates with multiple parameters (age, preferences, feedback) are used, then content personalization and user engagement are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The user profile is segmented into distinct parameters (age, preferences, feedback history) that are independently tracked and processed. The user-specific template is structured as a organized data structure that separates these parameters, making it easier to manage and process without overwhelming system complexity.
Solution Approach 2:
The user-specific template acts as an intermediary layer between the raw user data and the generative model. Instead of feeding all user data directly to the complex generative model, the template synthesizes and structures the information in a manageable format, reducing the processing burden on the system.
3Adaptability or versatility
If the system continuously updates user profiles based on feedback and usage history, then content adaptability and user satisfaction are improved, but data storage requirements and processing time increase
Solution Approach 1:
The system extracts and stores only the essential user-specific parameters needed for content personalization (age, key preferences, significant feedback) rather than storing all possible user data. This selective extraction reduces storage requirements while maintaining the ability to generate personalized content.
Solution Approach 2:
The system implements partial updates to the user profile by only modifying parameters that have changed based on new feedback, rather than completely reprocessing all user data with each interaction. This approach maintains adaptability while reducing processing time and storage overhead.
Data Source
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AI summary
The invention relates to a user-specific electronic terminal device, in particular a terminal device adapted to the user's age, for the acoustic and/or optical and/or haptic reproduction of content, which is generated using a generative model based on artificial intelligence, wherein the generated content is adapted to the user, wherein the generation of the content using the generative model is based on a user-specific template, wherein the user-specific template contains a user preference assigned to the user profile as well as the user's age.