Vehicle Dialogue System Voice Control Safety
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Solution Overview
Problem
Existing audio-video-navigation (AVN) devices in vehicles face challenges due to small screens and buttons, making it inconvenient and unsafe for users to interact with them during driving, as they require users to take their hands off the wheel and look away from the road.
Innovation Solution
A dialogue system that recognizes user intentions through speech and contextual information, including vehicle and environmental data, to provide services without the need for manual input, using an input processor, dialogue managing processor, and result processor to determine and execute actions safely and efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If a small screen and small button are provided in the AVN device, then the device can be compact and installed in the vehicle, but the user convenience and safety deteriorate because users must take their hands off the steering wheel and look away from the road to operate it
Solution Approach 1:
The patent replaces mechanical input methods (buttons, touchscreen) with voice recognition technology. The dialogue system processes user speech inputs to control AVN functions, eliminating the need for manual button pressing or touchscreen interaction, thereby maintaining compact device size while significantly improving ease of operation and driving safety
Solution Approach 2:
The patent introduces a dialogue managing processor as an intermediary between the user and the AVN system. This processor interprets user intent from speech inputs and translates them into appropriate control commands, serving as a mediator that enables natural language interaction without requiring direct manual operation of physical controls
2Volume of moving object
If a small screen and small button are provided in the AVN device, then the device can be compact and installed in the vehicle, but the user safety deteriorates because users must look away from the road to check visual information and operate devices
Solution Approach 1:
The patent replaces visual and manual interaction mechanisms with acoustic interaction (voice recognition). Users can operate the AVN system through speech without visually attending to the device or removing hands from the steering wheel, thereby maintaining compact form factor while significantly improving driving safety and reducing distraction
Solution Approach 2:
The dialogue system enables the AVN device to understand and execute user commands autonomously through speech recognition. The system processes user intent and performs actions without requiring manual confirmation or visual verification, allowing users to maintain focus on the road while the system handles operations independently
3Device complexity
If the dialogue system uses only basic speech recognition, then the system complexity is low, but the accuracy of recognizing user intention deteriorates
Solution Approach 1:
The patent divides the intention recognition process into multiple processing stages: speech input reception, keyword matching, user intent classification, and action determination. The dialogue managing processor handles different aspects of interpretation separately, allowing the system to achieve high recognition accuracy through structured multi-stage processing while maintaining manageable system complexity
Solution Approach 2:
The dialogue managing processor serves multiple functions: it performs speech recognition, interprets user intent, determines appropriate actions, and manages dialogue flow. This multi-functional approach consolidates complexity into a single processing unit that handles various interpretation tasks, improving intention recognition accuracy without proportionally increasing overall system complexity
Data Source
AI summary
A dialogue system includes: an input processor extracting an action corresponding to a user's utterance; a storage storing information value of context information comprising at least one of vehicle state information related to a vehicle state, and driving environment information related to the driving environment of the vehicle; a dialogue managing processor acquiring a parameter value of a condition determination parameter used to determine whether the action corresponding to the user's utterance is executable, from the storage, the dialogue managing processor determining an action to be executed based on the parameter value of the condition determination parameter, the dialogue managing processor acquiring a parameter value of action parameter used to execute the determined action, from the storage; and a result processor generating a response to execute the determined action by using the acquired parameter value of action parameter.


