Infotainment Pie Chart Interface for Function Prioritization
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Solution Overview
Problem
Infotainment systems in motor vehicles lack an efficient method to visually organize and prioritize functions, making it difficult for drivers to quickly find and operate frequently used or safety-related functions.
Innovation Solution
A method that reads input data sets associated with infotainment system functions, clusters them based on predetermined criteria such as user frequency, importance, and class, and generates an image data set for a pie chart representation, which highlights frequently used or safety-critical functions for easy access on displays like touchscreens and head-up displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If functions are arranged in a traditional menu structure, then all functions can be displayed, but frequently used functions are not easily accessible and operation becomes complex
Solution Approach 1:
The patent applies local quality by assigning different visual weights to different functions based on their importance. Frequently used functions are highlighted with larger icons and prominent positions in the pie chart, while less important functions are displayed with smaller icons. This creates a non-uniform visual hierarchy that prioritizes access to critical functions without hiding other functions entirely.
Solution Approach 2:
The patent changes the parameter of visual representation by using a pie chart format where the area of each sector corresponds to the importance or frequency of use of a function. This parameter change from uniform menu items to variable-area sectors allows the interface to dynamically prioritize functions based on usage data, making frequent operations more accessible.
2Loss of information
If all functions are displayed with equal visual weight, then complete information is provided, but important functions are not highlighted and require more time to locate
Solution Approach 1:
The patent uses visual differentiation through color and size variations in the pie chart representation. Important functions are displayed with distinct visual characteristics such as larger sector areas, different colors, or enhanced borders, allowing drivers to quickly identify and locate critical functions without losing information about less important functions.
Solution Approach 2:
The system performs preliminary analysis of function usage patterns and pre-arranges the pie chart layout to highlight frequently used functions before the driver needs to access them. By anticipating which functions will be needed based on historical data, the system proactively optimizes the visual presentation to minimize search time.
3Ease of operation
If the interface is customized based on user behavior, then frequently used functions become more accessible, but the system complexity increases
Solution Approach 1:
The system implements self-service by automatically analyzing driver behavior patterns and autonomously generating the optimized pie chart layout without requiring manual configuration. The clustering algorithm processes usage data and automatically determines the visual hierarchy, allowing the interface to adapt to individual drivers while maintaining simple operation for the end user.
Solution Approach 2:
The system uses feedback from actual driver interactions to continuously refine the pie chart configuration. By monitoring which functions are accessed most frequently and adjusting the visual representation accordingly, the system creates a closed-loop adaptation process that improves ease of operation over time while the complexity is contained within the automated feedback mechanism.
Data Source
AI summary
An image data set is generated for output by an infotainment system of a motor vehicle. Input data sets associated with respective functions of the infotainment system are clustered according to at least one predetermined criterion. The clustered input data sets are evaluated to determine at least one parameter of a circular representation for the image data set, which is generated using the at least one determined parameter.