Vehicle Call Filtering via Voice Recognition and Dialogue Manager
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Solution Overview
Problem
Users face inconvenience in distinguishing between spam and useful phone calls, especially when driving or unable to answer calls, as existing methods require manual determination and may result in missed information.
Innovation Solution
A vehicle system that includes a communication device capable of recognizing voice calls, generating voice recognition results, and using a dialogue manager to determine call content relevance and necessity, providing information only when a predetermined score is met, and terminating calls when appropriate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user manually determines whether each phone call is spam or useful, then the user can make informed decisions about each call, but this requires significant time and attention especially when driving
Solution Approach 1:
The system performs preliminary voice recognition and content analysis of incoming calls before the user needs to decide whether to answer. The dialogue manager pre-evaluates call relevance and generates recommendations, so when the user receives the call notification, the decision-making work has already been done in advance
Solution Approach 2:
The system serves itself by automatically analyzing call contents through voice recognition, determining relevance to user information, and generating recommendations without requiring user intervention. The dialogue manager autonomously evaluates each call and provides ready-made recommendations for the user
2Loss of information
If the user answers every phone call to ensure important information is not missed, then no useful information is lost, but the user experiences increased distraction and safety risks when driving
Solution Approach 1:
The dialogue manager acts as an intermediary between the incoming call and the user. It analyzes the call content, compares it with user information, determines relevance, and presents a recommended answer to the user. This intermediary layer filters out spam calls before they reach the user, reducing the need for the user to manually evaluate each call while driving
Solution Approach 2:
The system replaces the mechanical process of manual call evaluation with automated voice recognition and AI-based dialogue management. Instead of the user listening to and evaluating each call manually, the system uses technology to perform the evaluation and present recommendations
3Loss of information
If the system provides all phone call contents to the user, then the user receives complete information, but the user is overwhelmed by irrelevant spam call information
Solution Approach 1:
The system extracts only the relevant and useful information from phone calls by comparing call contents with user information stored in the system. The dialogue manager identifies and extracts meaningful calls while filtering out spam, presenting only the essential information to the user rather than all raw call data
4Ease of operation
If the system uses automated voice recognition and dialogue management to filter calls, then the user experience is improved by reducing manual evaluation, but the system complexity increases
Solution Approach 1:
The dialogue manager is designed as a universal system that handles multiple functions: voice recognition, call content analysis, relevance determination, recommendation generation, and call filtering. This multi-functional approach consolidates what could be multiple separate systems into a single integrated solution
Data Source
AI summary
A vehicle includes a communication device configured to communicate with a user terminal. The vehicle further includes an input processor configured to recognize a voice of a telephone call received by the user terminal and generate a voice recognition result on the voice of the telephone call. The vehicle also includes a dialogue manager configured to determine telephone call contents based on the voice recognition result and determine whether or not to provide the telephone call contents to a user based on the telephone call contents.


