Template-Based Vehicle Head Unit UI for Information Integration
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Solution Overview
Problem
Existing vehicle head units do not effectively integrate and provide relevant information from both internal and external applications, leading to limited user satisfaction due to lack of real-time traffic information and navigation assistance during vehicle operation.
Innovation Solution
A method and system for integrating information from internal and external applications using a template-based user interface, classifying information into common and specialized categories, and applying a matching algorithm to provide optimized information based on selected matching methods, ensuring accuracy and relevance to driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If information from multiple external applications is integrated with internal applications, then information completeness and user satisfaction are improved, but information integration complexity and processing time increase
Solution Approach 1:
The patent segments information from multiple applications into structured categories (common information and specialized information). The template-based UI divides the display into standardized sections, allowing systematic organization of integrated information without overwhelming complexity. This segmentation enables manageable processing of multi-source data while maintaining completeness.
Solution Approach 2:
The patent introduces a template-based UI as an intermediary layer between multiple application information sources and the user. This template acts as a mediator that standardizes and harmonizes information from diverse sources (navigation apps, traffic apps, etc.), enabling seamless integration without direct complex interactions between all information sources.
2Loss of information
If all information from external and internal applications is displayed, then information availability is improved, but information relevance and user focus are degraded
Solution Approach 1:
The patent applies local quality by providing different information treatments in different template sections. Common information is standardized across all applications, while specialized information is selectively displayed based on its specific value. This allows the UI to maintain high relevance in each local section while preserving overall information availability.
Solution Approach 2:
The patent implements partial action by selectively matching and displaying only relevant information from external applications based on the selected matching method (full coordination, partial coordination, or no coordination). This partial processing approach maintains information availability while filtering out excessive or irrelevant data through intelligent matching algorithms.
3Measurement precision
If multiple matching methods are provided for information integration, then information accuracy is improved, but system complexity and user operation difficulty increase
Solution Approach 1:
The patent implements dynamics by allowing the matching method to be flexibly selected and changed based on user needs and driving conditions. The system can switch between full coordination matching, partial coordination matching, and no coordination matching, providing adaptive information integration that balances accuracy and operability according to specific situations.
4Loss of time
If information is continuously updated in real-time, then information freshness is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent implements periodic action by updating information in the template-based UI at scheduled intervals rather than continuously. The system periodically refreshes common information and specialized information from connected applications, maintaining information freshness while reducing continuous processing load and energy consumption compared to real-time continuous updates.
Data Source
AI summary
The present invention relates to a method for integrating information on external application with information on internal application. The method includes steps of: (a) classifying information inputted from internal application and external application into either common information or specialized information; (b) deciding whether common information of the external application should be matched with that of the internal application by referring to a matching algorithm and then matching the common information of the external application with that of the internal application, if necessary, and matching the specialized information of the external application with that of the internal application; and (c) providing common information at states of being matched or unmatched according to the matching algorithm through the template and the matched specialized information through the template.