Adaptive Smart Tutorial for Vehicle Feature Utilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles often come with underutilized features due to inefficient methods of learning and using their advanced functionalities, as traditional owner's manuals are rarely consulted and provide information in an inconvenient manner.
Innovation Solution
A smart tutorial system that generates a situational profile for the vehicle based on driver interaction data, compares it to assistance profiles, and selects relevant instructions for optimal vehicle operation, adapting in real-time to enhance driver knowledge and vehicle performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional owner's manuals are provided in printed or electronic form, then comprehensive vehicle information is available, but the information is rarely consulted and features remain underutilized
Solution Approach 1:
The system performs preliminary action by proactively presenting tutorial information to drivers before they encounter problems or need to use features. The system analyzes driver behavior patterns and pre-delivers relevant tutorials at appropriate moments, rather than waiting for the driver to seek information manually.
Solution Approach 2:
The system implements feedback by continuously monitoring driver interactions with vehicle features and using this data to adaptively adjust which tutorials are presented, when they are presented, and to which drivers. This closed-loop approach ensures information is delivered when most relevant to the driver's current needs.
2Loss of information
If comprehensive tutorials are provided for all vehicle features, then complete coverage is achieved, but driver attention is overwhelmed and key features are missed
Solution Approach 1:
The system applies local quality by customizing tutorial content and delivery based on individual driver characteristics, behavior patterns, and specific needs. Rather than uniform treatment, each driver receives tailored information about the features most relevant to their driving style and the vehicle they operate.
Solution Approach 2:
The system uses partial action by selectively presenting only the most relevant tutorials to each driver based on analyzed behavior patterns, rather than overwhelming drivers with all possible feature information. This targeted approach delivers sufficient information without excessive content.
3Stability of the object's composition
If static tutorial content is provided, then information consistency is maintained, but adaptability to different drivers and situations is reduced
Solution Approach 1:
The system implements dynamics by making tutorial content adaptive and flexible based on real-time driver behavior analysis. The system continuously updates its understanding of driver patterns and adjusts tutorial delivery accordingly, transforming static information into a dynamic, responsive learning experience while maintaining core information consistency.
Data Source
AI summary
An adaptive smart tutorial that assists in operating a vehicle is described. A situational profile for the vehicle including driver identity data is generated. The driver identity data includes respective usage frequency values corresponding to a plurality of assistance instructions. The situational profile is compared to a plurality of assistance profiles including aggregate identity data corresponding to the driver identity data, Based on the comparison, a plurality of similarity values corresponding to the plurality of assistance profiles indicating a level of similarity between the situational profile for the vehicle and a respective assistance profile of the plurality of assistance profiles is generated. An assistance instruction of the plurality of assistance instructions is selected depending upon a similarity value and a usage frequency value that corresponds to the assistance instruction. The assistance instruction is associated with one or more control system inputs for changing a control state of the vehicle.