Vehicle Infotension Adaptation via User Intent Analysis
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Solution Overview
Problem
Infotainment systems in vehicles are statically configured and lack the ability to dynamically adapt to user behavior and intentions, limiting their functional scope and usability.
Innovation Solution
A method that records user interaction data with vehicle functions, transfers it to a server, and dynamically adjusts the vehicle's functionality based on inferred user intentions by selecting or generating individualized user functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the infotainment system is configured statically with predefined functions, then the system structure is simple and reliable, but the adaptability to user behavior and intentions is poor
Solution Approach 1:
The infotainment system transitions from a static configuration to a dynamic one by continuously recording user interaction data and adjusting the functional scope based on analyzed user intentions. The system adapts its behavior in real-time by selecting and generating individualized user functions based on recorded patterns, making the system flexible and responsive to changing user needs while maintaining a manageable configuration through automated analysis.
Solution Approach 2:
The system performs self-configuration by automatically recording user interactions, analyzing the data to determine user intentions, and selecting or generating appropriate functions without requiring manual reconfiguration. The infotainment system serves itself by autonomously adapting its functional scope based on user behavior patterns, eliminating the need for complex manual setup while maintaining high adaptability.
2Adaptability or versatility
If additional applications are downloaded to expand functional scope, then the versatility of the system increases, but the integration into the overall vehicle system becomes less seamless
Solution Approach 1:
Instead of integrating multiple separate third-party applications, the system implements a universal function selection mechanism that can dynamically activate appropriate functions from the existing vehicle system based on user intentions. The infotainment system becomes multi-functional by selectively combining and presenting relevant functions from the unified vehicle system, achieving versatility without the integration complexity of multiple external applications.
Solution Approach 2:
The patent merges the function selection and adaptation logic into a unified system that combines user behavior analysis with the vehicle's existing functional capabilities. Rather than maintaining separate third-party applications, the system merges user intention recognition with the vehicle's native functions, creating a seamless integrated experience where the functional scope is dynamically adjusted through a single cohesive mechanism.
3Ease of operation
If user interaction data is recorded and analyzed dynamically, then the individualization of user functions is improved, but the data processing requirements and system complexity increase
Solution Approach 1:
The system introduces an intermediary data analysis layer that processes user interaction records to determine user intentions. This intermediary component acts as a mediator between raw user interactions and the function selection mechanism, translating behavioral data into actionable insights about user intentions. The intermediary simplifies the overall complexity by providing a structured approach to data processing and function selection based on analyzed patterns.
4Ease of operation
If the system dynamically adjusts functionality based on user intentions, then the usability is enhanced, but the response time and processing delay may increase
Solution Approach 1:
The system performs preliminary actions by continuously recording and pre-processing user interaction data in the background, building a repository of user behavior patterns before they are needed for function selection. This preliminary data collection and analysis enables the system to quickly determine user intentions and adjust functions in real-time, reducing the response time when dynamic adaptation is actually required while maintaining enhanced usability.
Data Source
AI summary
A method for making available at least one individualized user function in a vehicle having at least one user interface includes recording data which is transferred to respective functions assigned to the at least one user interface and/or data which is output by the respective functions assigned to the at least one user interface; transferring the recorded data to a server as a function of a state of the vehicle; determining at least one intention of a user of the vehicle on the basis of the data transferred to the server; and dynamically adjusting the vehicle as a function of the at least one intention of the user, by way of at least one user function which is selected and/or generated on the basis of the at least one intention of the user.