Procedure for creating a speech dialogue protocol and motor vehicle system
AI-powered journaling in vehicles addresses the inefficiency of manual text editing by creating enriched speech dialogue protocols during travel, enhancing personal development and social sharing.
DE102025110399B3Undetermined Publication Date: 2026-07-02AUDI AG
Patent Information
- Application Number
- DE102025110399
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-03-18
- Publication Date
- 2026-07-02
- Estimated Expiration
- 2045-03-18
AI Technical Summary
Technical Problem
Existing journaling applications do not utilize artificial intelligence to assist users in reflecting on their thoughts during travel, requiring manual text editing and lacking voice assistance, thus not effectively utilizing travel time for personal development.
Method used
A method involving user recognition, guided voice dialogue, and AI-driven summarization to create a speech dialogue protocol, incorporating background data for enhanced journaling during vehicle travel.
Benefits of technology
Enables efficient and intelligent journaling by summarizing essential dialogue content with relevant background data, facilitating personal development and sharing on social media.
✦ Generated by Eureka AI based on patent content.
Smart Images
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Abstract
The invention relates to a method for creating a speech dialogue protocol for a respective user (13) of a motor vehicle (10) comprising the following steps: - Determining the identity of the respective user (13), - Conducting a guided interview of the respective user (13) in a speech dialogue, - Recording the contents of the speech dialogue and converting (S4) the contents into text form, - Creating speech dialogue protocol data (30) and - Providing the speech dialogue protocol data (30) for a mobile device (12).During the speech dialogue, a first language model, LLM, triggers the reception of background data (33) based on semantic triggers from the speech dialogue, and a second language model, LLM, summarizes speech dialogue raw data (27) based on semantic relationships after the speech dialogue has ended, whereby the received background data (33) are additionally linked with the speech dialogue raw data (27), and when summarizing the speech dialogue raw data (27) and the background data (33), the speech dialogue protocol data (30) are formed.
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Citation Information
Patent Citations
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