Driver Guidance for Unfamiliar Car-Sharing Vehicle Functions
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Solution Overview
Problem
Users of car-sharing services often avoid unfamiliar vehicles, leading to missed trips or alternative transportation due to lack of instruction on varying vehicle features and systems.
Innovation Solution
A system and method that identifies users and their customary vehicles, determines differences between selected and customary vehicles, and provides informative instructions to users on operating unfamiliar vehicles, ensuring they are adequately prepared before accessing and using the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are provided with comprehensive instructions on all vehicle features, then user confidence and operational capability improve, but system complexity and information delivery burden increase
Solution Approach 1:
The system provides targeted instructions specifically for vehicle features that differ from the user's customary vehicle, rather than providing generic instructions for all features. This localized approach delivers necessary information without overwhelming the user with redundant content, thereby improving ease of operation while controlling system complexity.
Solution Approach 2:
The system proactively identifies and delivers instructions about differences between the selected vehicle and the user's customary vehicle before the user begins operating the vehicle. This preliminary action ensures users are prepared in advance for specific operational variations, improving confidence without requiring complex real-time instruction systems.
2Reliability
If the system provides detailed instructions for all vehicle differences, then user preparedness improves, but information delivery time and processing load increase
Solution Approach 1:
The system focuses instruction delivery on specific vehicle features that differ from the user's customary vehicle, eliminating the need to provide comprehensive instructions for all features. This selective approach maintains user preparedness for critical differences while significantly reducing information delivery time and processing requirements.
Solution Approach 2:
The system provides precisely the amount of instruction needed - no more, no less - by identifying only the specific features that require user awareness. This partial action approach avoids the time waste of providing excessive generic instructions while ensuring sufficient preparedness for actual operational differences.
3Adaptability or versatility
If the system tracks and analyzes user instruction history to personalize instructions, then instruction relevance and user experience improve, but data processing requirements and system complexity increase
Solution Approach 1:
The system maintains a reusable user instruction history database that serves multiple functions: identifying customary vehicles, determining instruction needs for current vehicles, and adapting future instructions. This universal data structure provides personalized adaptability without requiring separate complex processing systems for each function.
Solution Approach 2:
The system uses user instruction history as feedback to continuously improve instruction personalization. By analyzing past interactions and customary vehicle patterns, the system adapts future instructions to match user preferences and needs, enhancing adaptability while using established feedback loops rather than complex new systems.
Data Source
AI summary
A method for instructing users of car-sharing services to operate a shared vehicle includes identifying a user of a selected vehicle, determining a customary vehicle of the user based on the identification, determining differences between the selected vehicle and the customary vehicle, and informing the user of the determined differences.