Vehicle Dialogue System Context Weighting for Hands-Free Safety
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Solution Overview
Problem
Current audio-video-navigation (AVN) devices in vehicles pose a safety risk during driving due to their small screens and buttons, requiring users to take their hands off the wheel or look away, making it inconvenient and dangerous to interact with them.
Innovation Solution
A dialogue system that recognizes and interprets user speech, assigns context-based weights, and generates appropriate actions or responses, allowing users to interact hands-free and safely by converting speech into text, performing actions, and providing information without the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a dialogue system is applied to enable hands-free operation, then user safety is improved, but the ability to provide visual information and receive precise user input deteriorates
Solution Approach 1:
The system segments information provision into multiple channels: speech recognition for input, speech synthesis for output, and selective visual display for confirmation. This allows hands-free operation while preserving essential visual feedback for critical information.
Solution Approach 2:
The dialogue system acts as an intermediary between the user and vehicle systems, translating speech inputs into commands and converting system responses into speech output. This mediator layer enables hands-free interaction while maintaining information exchange capabilities.
2Ease of operation
If speech recognition is used for hands-free operation, then ease of operation is improved, but measurement precision of user input deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms where speech recognition results are presented back to the user for confirmation, and speech synthesis provides audible feedback about recognized commands. This feedback loop enables correction of recognition errors and improves overall input precision.
Solution Approach 2:
The system performs preliminary speech recognition and interpretation before executing commands, allowing users to review and correct recognized input before it takes effect. This preliminary processing step improves accuracy by enabling user verification.
3Adaptability or versatility
If context information is processed and weighted, then adaptability of the system is improved, but device complexity increases
Solution Approach 1:
The dialogue system serves multiple functions: speech recognition, speech synthesis, context management, and command execution. By making the core dialogue system multi-functional, the system achieves high adaptability without requiring separate specialized components for each function.
Solution Approach 2:
The system merges speech recognition, speech synthesis, and context processing into an integrated dialogue system. This consolidation reduces overall system complexity by eliminating interfaces between separate systems while maintaining context-aware adaptability through unified processing.
Data Source
AI summary
A dialogue system and a vehicle having the same is provided. The dialogue system may recognize the user's speech, which is transmitted from the speech input device, as a text, derive user labeling context information after verifying an entity of the text, store the user labeling context information in the type to share an entity ontology with other user, and generate a dialogue response to perform an action corresponding when a user performs a free utterance or a designated entity utterance.