In-Vehicle Voice Query System Contextual Data Replacement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current in-vehicle infotainment systems rely on static text-based manuals, which are difficult to navigate and outdated, leading to inaccuracies in response content provided to users, particularly in dynamic vehicle contexts.
Innovation Solution
An in-vehicle computing system with a communication interface, processor, and storage device that receives voice queries, translates them into text, sends them to a query response server, and replaces placeholders with local data to provide contextually relevant and updated responses to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static text-based manuals are used as information sources, then device complexity is reduced, but information accuracy and relevance deteriorate over time
Solution Approach 1:
The system transitions from static manual-based information delivery to dynamic, context-aware response generation. The query response system adapts to changing vehicle states and user interactions in real-time, ensuring information remains accurate and relevant without requiring frequent manual updates.
Solution Approach 2:
The system implements feedback loops by collecting vehicle data and user interaction information, then using this feedback to generate contextually relevant responses. This continuous feedback mechanism ensures information accuracy improves over time based on actual vehicle operations and user needs.
2Ease of operation
If text-based manuals are used, then ease of operation is reduced due to navigation difficulty, but loss of information is minimized
Solution Approach 1:
The query response system enables users to obtain information on-demand through natural language queries rather than requiring them to manually navigate through manuals. The system proactively provides relevant information based on vehicle context and user needs, eliminating the time required to search and locate specific information.
Solution Approach 2:
The system replaces manual navigation through text-based manuals with voice-based natural language interaction. This substitution of mechanical navigation with speech-based querying dramatically improves ease of operation and reduces the time required to access information.
3Adaptability or versatility
If static manuals are used, then adaptability to changing vehicle conditions is poor, but manufacturing simplicity is maintained
Solution Approach 1:
The system dynamically adapts responses based on real-time vehicle data and user context rather than relying on fixed manual content. This enables the system to provide accurate information for changing vehicle conditions, driver behaviors, and operational states without requiring manual revisions.
Solution Approach 2:
The system changes response parameters based on vehicle operating conditions, user preferences, and contextual information. By dynamically adjusting response content based on varying parameters such as vehicle state and user interaction patterns, the system achieves high adaptability while managing processing complexity through structured data handling.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Embodiments are disclosed for an in-vehicle computing system (204, 300) comprising a communication interface communicatively coupled to a query response server (202), a processor, and a storage device (206, 308). The storage device configured to collect and store vehicle and user interaction data (208) and configured to store instructions executable by the processor to receive a voice query from a user, translate the voice query into a text query, send the text query to a query response server (202), receive a result from the query response server (202), the result including one or more placeholders representing data to be retrieved from a storage device (206) local to the in-vehicle computing system, replace the one or more placeholders with information from the storage device to form an updated result; and present the updated result to the user.