Vehicle Dialogue System Context-Aware Speech Recognition
Find Innovative SolutionsGenerate Solutions
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 user intentions through speech input, vehicle state, and driving environment information, providing guided notifications and controlling vehicle functions safely and conveniently by integrating a speech input processor, context information processor, dialogue manager, and result processor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a dialogue system is applied to recognize user intention through speech, then user safety and convenience are improved, but system complexity increases
Solution Approach 1:
The dialogue system is divided into multiple functional modules: speech input processor for recognizing user speech, context information processor for analyzing vehicle state and driving environment, dialogue manager for determining actions, and result processor for outputting responses. This segmentation allows each module to handle specific tasks independently, improving overall system reliability while maintaining manageable complexity through modular design.
Solution Approach 2:
The context information processor acts as an intermediary that integrates speech recognition results with vehicle state information and driving environment data. This mediator component synthesizes multiple information sources to determine accurate user intention, enhancing safety by ensuring decisions are based on comprehensive context rather than speech alone.
2Loss of information
If visual information and device operation require hand-off from steering wheel, then information accessibility is improved, but driving safety deteriorates
Solution Approach 1:
The system replaces mechanical interaction (hand operations on buttons and touchscreen) with acoustic interaction (speech recognition). Users can access vehicle functions and information through voice commands, eliminating the need to take hands off the steering wheel or eyes from the road, thus maintaining driving safety while ensuring information accessibility.
Solution Approach 2:
The dialogue system provides automated information delivery through the output processor, which proactively notifies users of relevant vehicle states and driving environment information based on context analysis. This self-service capability reduces the need for users to actively query systems, further minimizing distraction while maintaining full information accessibility.
3Ease of operation
If speech recognition is used to identify user intention, then ease of operation is improved, but recognition precision may deteriorate
Solution Approach 1:
The system merges speech recognition results with context information from vehicle state sensors and driving environment sensors. By combining multiple information sources in the context information processor, the system achieves more precise user intention recognition than speech alone could provide, maintaining ease of operation while improving accuracy.
Solution Approach 2:
The dialogue manager uses feedback from the context information processor to refine action determination. When speech recognition provides multiple possible interpretations, the system feedback loop allows the context analyzer to disambiguate user intention based on current vehicle state and environment, ensuring high recognition precision while maintaining simple speech-based operation.
Data Source
AI summary
A dialogue system, a vehicle and a method for controlling the vehicle is provided. The vehicle monitors at least one of vehicle state information and driving environment information, generates a vehicle use pattern based on the monitored information; generates and storing notification event information corresponding to the vehicle use pattern; determines whether the monitored information corresponds to any one of event information; when it is determined that the monitored information corresponds to any one of event information, determines notification timing of the any one of notification event information; when the current time is notification timing of the any one of notification event information, outputs guide information on the notification event information; generates a control command corresponding to the notification event information; and executes a function corresponding the notification event information based on the control command.