Personalized User Interface Generation via Persona Synthesis
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Solution Overview
Problem
Current user interfaces lack optimization and personalization based on individual user preferences, leading to poor user experiences and increased abandonment of tasks on websites or applications.
Innovation Solution
A computer-implemented method that collects user preferences through a prompt-based menu system and natural language processing, creates a user persona based on these preferences, and generates a customized user interface tailored to the user's learning style and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standardized user interface is used for all users, then the device complexity is reduced and ease of manufacture is improved, but the user experience quality and user engagement deteriorate due to lack of personalization
Solution Approach 1:
The system automatically collects user preferences through interactions with prompt-based menu systems and natural language processing, then autonomously creates user personas and generates customized interfaces without requiring manual configuration by users or developers
Solution Approach 2:
User personas are created in advance based on collected preferences, and customized interfaces are generated before users actually need them, allowing the system to immediately present personalized content without delay
2Loss of information
If detailed user preferences are collected through prompt-based menu systems and natural language processing, then the user interface personalization is improved, but the information processing requirements and system complexity increase
Solution Approach 1:
User personas serve as an intermediary data structure that synthesizes and organizes collected preferences from multiple sources (prompt-based menus, natural language inputs), transforming raw data into a structured format that drives interface customization without requiring the system to directly process all raw preference data
Solution Approach 2:
Traditional manual interface customization methods are replaced with automated natural language processing and machine learning algorithms that analyze user inputs and generate personalized interfaces programmatically
3Productivity
If the user interface is customized based on user persona, then the user engagement and memory retention are improved, but the processing time and computational resources increase
Solution Approach 1:
User personas are created in advance from collected preference data, and interface customization rules are pre-configured based on these personas, allowing the system to quickly generate customized interfaces without performing complex analysis at the moment of interface delivery
Solution Approach 2:
The system adjusts interface parameters (content format, presentation style, interaction modes) based on stored user persona attributes, allowing efficient generation of customized interfaces by modifying existing template parameters rather than creating entirely new interfaces
Data Source
AI summary
A display method, system, and computer program product for displaying a user interface (UI) based on user preferences including collecting, by one or more processors, user preferences from user interaction with a prompt-based menu system and natural language processing, creating, by the one or more processors, a user persona based on the user preferences, and generating, by the one or more processors, a user interface (UI) customized for the user based on the user persona.