Vehicle Query System Using Dynamic Context-Aware Presentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of vehicles face challenges in accessing and understanding the numerous features and controls of connected vehicles, as existing systems lack efficient and accessible methods for querying vehicle operational information, leading to underutilization of features and potential safety risks due to the lack of timely and context-specific information.
Innovation Solution
An AI engine that uses natural language processing and contextual metadata to provide query-based access to vehicle operational content, dynamically determining when and how to display information to minimize driver distraction, and integrating external data sources for relevance, while allowing voice queries and audible responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive vehicle operational content is made accessible to users, then user understanding and utilization of vehicle features improves, but driver distraction and safety risks increase
Solution Approach 1:
The system dynamically adjusts information presentation based on real-time driving status detection. When motion is detected above a threshold, the system transitions from displaying information to storing it for later retrieval, automatically adapting the information delivery mechanism to current safety conditions
Solution Approach 2:
The system introduces an intermediary safety check between the driver and vehicle information. The driving status determination acts as a mediator that filters information flow, allowing access when safe and blocking access when dangerous, thus protecting against distraction while maintaining information availability
2Ease of operation
If vehicle information is made easily accessible during operation, then user interaction efficiency improves, but driver safety deteriorates due to distraction
Solution Approach 1:
The system dynamically changes the interaction mode based on driving conditions. During motion, the system provides audio feedback and stores information for later access, while at rest it enables full visual interaction, thus maintaining ease of operation when safe and protecting safety when at risk
3Loss of information
If detailed vehicle operational content is presented to users, then user decision-making improves, but mental workload increases
Solution Approach 1:
The system segments vehicle operational content into discrete portions, each associated with contextual metadata. This segmentation allows the system to present only relevant information segments based on the query and context, reducing overall mental workload while maintaining information completeness
Solution Approach 2:
The system applies different presentation qualities to different information segments based on their relevance and context. Audio feedback provides essential information with minimal cognitive load, while detailed visual information is reserved for when the vehicle is at rest, optimizing the quality of information presentation to match user needs and capacity
Data Source
AI summary
Generally described, the present disclosure relates to the efficient management and compact presentation of data or content with respect to a vehicle. For example, an operator of a vehicle may desire content related to vehicle operation, including, among many other forms of data, user manual information, warranty information, parts data, maintenance logs, etc. The disclosed techniques can use query inputs to optimize data presentation and provide augmented data to a user via an interactive user interface.