AI-driven system for personalizing infotainment functions in a digital vehicle platform
An AI-driven system optimizes vehicle infotainment functions by dynamically adapting to user interactions and driving contexts, addressing the lack of real-time adaptability and coordination in existing systems to reduce driver distraction.
Patent Information
- Application Number
- DE202025107925
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2025-12-21
- Publication Date
- 2026-03-19
- Estimated Expiration
- 2035-12-31
AI Technical Summary
Current vehicle infotainment systems lack real-time adaptability and coordination across multiple channels, leading to fragmented user experiences and increased driver distraction.
An AI-controlled system that captures user interactions, vehicle states, and contextual information to dynamically adapt infotainment functions in real time, using adaptive learning models to optimize personalization across multiple functional areas.
Enhances user comfort by reducing driver distraction through continuous, autonomous personalization based on learned preferences and situational awareness.
Abstract
Description
Technical field
[0001] The present invention relates to the technical field of intelligent vehicle systems and human-machine interfaces. In particular, the invention relates to an artificial intelligence-controlled system for the dynamic and context-dependent personalization of infotainment functions within a digital vehicle platform. State of the art
[0002] Digital infotainment platforms in vehicles provide functions such as media playback, navigation, communication interfaces, and vehicle-related information display. Current systems offer only static or manually configurable settings based on predefined user profiles or rule-based parameters. Such systems do not react in real time to changing usage patterns, driving contexts, or situational conditions.
[0003] Furthermore, existing solutions are unable to perform coordinated personalization across multiple infotainment channels. This leads to fragmented user experiences and increased user effort, which can increase driver distraction, especially while driving. Therefore, there is a need for an autonomous, adaptive system that continuously adjusts infotainment functions based on the situation, without requiring active user intervention. Object of the invention
[0004] The object of the present invention is to provide a technical system that enables automated, adaptive and context-dependent personalization of infotainment functions in a digital vehicle platform in order to increase user comfort and reduce driver distraction. Summary of the invention
[0005] The invention provides an AI-controlled personalization system that captures user interactions, vehicle states, and contextual information and evaluates them using artificial intelligence. Based on the learned preferences, infotainment functions are dynamically adapted in real time. The system operates autonomously, continuously learns, and coordinates personalization across multiple functional areas. Detailed description of the invention
[0006] The system according to the invention comprises a data acquisition unit designed to capture user interaction data as well as vehicle- and context-related information. This data is fed to an artificial intelligence processing unit, which uses adaptive learning models to identify usage patterns, preferences, and context dependencies.
[0007] A personalization control unit translates the results generated by artificial intelligence into concrete adaptation measures. These measures include, among other things, the prioritization of infotainment functions, the adaptation of user interfaces, the control of information display, and the time- and context-dependent activation of functions.
[0008] The system also features a feedback mechanism that analyzes user behavior after personalization and continuously refines the learning models. This ensures ongoing optimization of the personalization. The system operates in real time and dynamically adapts to changing drivers, driving situations, and vehicle operating conditions.
Claims
[1] System for personalizing infotainment functions in a digital vehicle platform, comprising a data acquisition unit for capturing user interaction data and context information, an artificial intelligence processing unit for analyzing and learning preference patterns, and a personalization control unit for dynamically adapting infotainment functions. [2] System according to claim 1, wherein the artificial intelligence processing unit uses adaptive learning models that are continuously updated without predefined user profiles. [3] System according to claim 1, wherein the personalization control unit effects a coordinated adaptation of several infotainment functional areas including content display, user interface structure and function prioritization. [4] System according to claim 1, further comprising a feedback mechanism for evaluating user reactions to personalizations made and for adapting the learning models. [5] System according to claim 1, wherein the system operates autonomously in real time and adapts infotainment functions depending on driving condition, temporal context and vehicle operating mode in order to reduce driver distraction.