Telematics-Based Virtual Driver Characters for Safety Awareness
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Solution Overview
Problem
Individuals operating vehicles often fail to fully appreciate the risks associated with vehicle operations, leading to a lack of awareness in reducing such risks.
Innovation Solution
Generate virtual characters in a game using real-world telematics data from drivers to simulate their driving characteristics, allowing them to play as their virtual counterparts and enhance vehicle safety awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional driving education methods are used, then drivers receive basic safety information, but drivers fail to fully appreciate the risks associated with vehicle operations
Solution Approach 1:
The patent creates virtual copies of real drivers by analyzing telematics data and generating virtual characters that replicate individual driving behaviors, characteristics, and decision-making patterns. This allows drivers to experience their own driving styles from a third-person perspective, making risk appreciation more effective than traditional education methods
Solution Approach 2:
The patent inverts the traditional driving experience by allowing drivers to control and observe virtual characters that represent themselves. Instead of passively receiving safety information, drivers actively engage with their own driving behaviors in a virtual environment, reversing the role from participant to observer of their own actions
2Reliability
If virtual characters are generated using real-world telematics data, then driver safety awareness is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the complex task of virtual character generation into distinct modules: telematics data collection, driving characteristic analysis, virtual character generation, and game integration. Each module processes specific aspects of driver behavior independently, making the overall system more manageable and scalable
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw telematics data into meaningful driving characteristics, which then inform virtual character generation. This intermediary step simplifies the data flow by creating structured intermediate representations that bridge the gap between raw data and virtual character properties
Data Source
AI summary
A computer-implemented method for generating one or more virtual characters, the computer-implemented method including determining, by a computing device, one or more first real-world driving characteristics comprising a first real-world focus skill based at least in part upon first real-world telematics data; determining, by the computing device, one or more first virtual driving characteristics comprising a first virtual focus skill based at least in part upon the one or more first real-world driving characteristics; generating, by the computing device, a first virtual character; presenting, by the computing device, the first virtual character in a virtual game; generating, by the computing device, a second virtual character associated with one or more second virtual driving characteristics; and presenting, by the computing device, the second virtual character in a virtual game. Other embodiments are described.