Vehicle Home Screen Prioritization for Safer Function Access
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Solution Overview
Problem
Current methods for displaying functionality in vehicles are cumbersome and unsafe, requiring drivers to navigate complex menus while driving, which increases distraction and reduces safety.
Innovation Solution
A method for displaying a personalized home screen on a vehicle's display device, using artificial intelligence to prioritize functionality symbols based on user interaction data, context, and environmental factors, ensuring easy access to essential functions while minimizing driver distraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If functionality is clustered in different applications with submenus, then all functions can be organized systematically, but driver distraction increases and safety decreases
Solution Approach 1:
The functionality is segmented into individual functionality symbols that can be independently selected and displayed on the home screen, rather than requiring navigation through clustered applications and submenus. Each symbol represents a discrete function that can be accessed directly.
Solution Approach 2:
The system performs preliminary action by automatically determining and displaying the most relevant functionality symbols on the home screen based on context data, interaction history, and usage patterns, so that frequently needed functions are already visible and accessible without requiring menu navigation.
2Ease of operation
If multiple functionality symbols are displayed on the home screen, then accessibility to functions improves, but screen space becomes limited and layout complexity increases
Solution Approach 1:
The home screen layout is made dynamic by automatically adjusting the number, size, and position of functionality symbols based on available screen space, context data, and usage patterns. The system can adaptively resize or reposition symbols to optimize both accessibility and layout simplicity.
Solution Approach 2:
The system changes parameters such as the number of displayed symbols, their size, and spatial arrangement based on context data and usage frequency. Less frequently used functions may be displayed in a condensed format or require additional navigation, while essential functions occupy prominent positions.
3Ease of operation
If the home screen is customized for each user, then user experience improves, but the complexity of managing multiple user profiles increases
Solution Approach 1:
The system provides self-service by automatically creating and managing user-specific home screens based on observed usage patterns, context data, and interaction history. The AI determines which functionality symbols to display for each user without requiring manual configuration, thereby improving user experience while minimizing the complexity of profile management.
4Ease of operation
If AI algorithms are used to prioritize functionality symbols, then the most relevant functions are displayed, but computational requirements and processing time increase
Solution Approach 1:
The system applies partial action by using AI algorithms selectively - primarily for determining the overall set of functionality symbols to display and their initial prioritization. Once established, the system can use simpler rules or cached data for routine updates, reducing continuous computational requirements while maintaining effective function prioritization.
Data Source
AI summary
A first and second request are respectively received from first and vehicle components regarding a consideration for displaying respective first and second functionality symbol. A context cluster is determined using current context data of the vehicle. A current first rank for the first request component and a current second rank for the second request in the current context cluster are determined and compared. The individual home screen is displayed with the first functionality symbol having a higher priority than the second functionality symbol if the first rank is greater than the second rank, or vice versa. The first rank and second ranks are determined depending on a type and frequency of interaction performed by the user relating to the first and second vehicle components of the context cluster, respectively.