Telematics-Based Virtual Character Training for Driving Risk Awareness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Individuals may not fully appreciate the risks of vehicular operation, leading to a need for technologies that increase awareness and safety by training virtual characters using telematics data from real trips.
Innovation Solution
A system and method that uses telematics data from real vehicle trips to train virtual characters, updating their skills and granting in-game resources based on their performance, allowing users to enhance virtual characters through outcome-modifying items and cosmetic upgrades.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If telematics data from real trips is used to train virtual characters, then user awareness of vehicular risks is enhanced and driving safety is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent creates virtual copies of real-world driving scenarios by processing telematics data into virtual occurrences. Real trip data is transformed into virtual character training experiences, allowing users to learn from realistic situations without actual risk. This copying approach maintains safety while managing system complexity through standardized data transformation processes.
Solution Approach 2:
The virtual character serves as an intermediary between real-world telematics data and user learning. The system processes complex raw data through the virtual character training mechanism, which mediates the transformation into meaningful safety lessons. This intermediary layer simplifies the user interface while handling complex data processing in the background.
2Productivity
If virtual characters are trained with detailed telematics data and skill updates, then the training effectiveness and user engagement increase, but the data processing time and computational resources increase
Solution Approach 1:
The system implements progressive training where virtual characters receive incremental skill updates based on selected portions of telematics data rather than processing all data at once. Users can choose to train with specific trips or skill sets, allowing flexible processing that balances effectiveness with time constraints. This partial action approach maintains training quality while reducing overall processing time.
3Ease of operation
If in-game resources and rewards are granted based on training performance, then user motivation and engagement increase, but the game economy complexity and resource management requirements increase
Solution Approach 1:
The system implements a feedback loop where training performance directly influences resource granting and character improvement. Users receive in-game resources based on their training achievements, which then enable further training capabilities. This feedback mechanism simplifies engagement by providing clear cause-and-effect relationships while managing economy complexity through rule-based resource distribution tied to measurable training outcomes.
Data Source
AI summary
Method and system for granting in-game resources for a telematics-based game. In some examples, a computer-implemented method includes: generating, based on a character profile, one or more virtual occurrences to be encountered by a virtual character; determining, based on a plurality of virtual ratings of the virtual character, one or more outcomes associated with the one or more virtual occurrences; determining, based on a user's driving performance during one or more real trips, a first quantity of a first game resource at least for purchasing outcome-modifying items, the outcome-modifying items being exclusively purchasable using the first game resource; upon receiving the user's selection to use a first outcome-modifying item: updating the one or more outcomes according to a predetermined adjustment; and determining, based on the updated one or more outcomes, a second quantity of a second game resource at least for purchasing character cosmetic upgrades, unlocking in-game items, and unlocking regions of a virtual map.