Vehicle Operator Identification via Mobile Contact Matching
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Solution Overview
Problem
Existing vehicle systems lack an efficient method to identify and differentiate between vehicle operators and passengers, leading to inappropriate adjustments of vehicle settings and messaging frequencies based on user preferences.
Innovation Solution
A system that synchronizes with a mobile device to identify the operator by matching contact information and unique identifiers, creating or updating profiles to store preferred settings and adjust vehicle components accordingly, while also managing message thresholds based on user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle system adjusts settings based on assumed operator identity, then vehicle settings can be automatically configured, but the settings may be inappropriate because the system cannot accurately distinguish between operator and passenger
Solution Approach 1:
The system uses messaging frequency feedback to identify the operator. Messages are sent at different frequencies to occupants, and the device that responds or interacts with the messaging system is identified as the operator. This feedback mechanism allows the system to accurately distinguish the operator from passengers without manual input.
Solution Approach 2:
The system allows the operator to self-identify through interaction with the messaging system. The operator's mobile device responds to messages from the vehicle system, automatically establishing identity without requiring manual registration or configuration. This self-service approach enables accurate operator identification while maintaining ease of use.
2Loss of information
If the system sends frequent messages to all occupants, then important information can be communicated, but unnecessary messages increase clutter and reduce effectiveness
Solution Approach 1:
The system applies different messaging frequencies and types to different occupants based on their identity. The operator receives targeted messages with appropriate frequency, while passengers receive fewer or different types of messages. This localized approach ensures important information reaches the operator without overwhelming any single occupant with unnecessary messages.
Solution Approach 2:
The messaging frequency and content are dynamically adjusted based on the identified operator's preferences and behavior. The system learns from operator responses and adapts the messaging strategy, sending messages only when necessary and at optimal frequencies. This dynamic approach maintains complete information communication while minimizing message clutter.
3Adaptability or versatility
If the system stores detailed profile information for multiple users, then personalized settings can be provided, but the complexity of profile management and data storage increases
Solution Approach 1:
Instead of storing complete personal information, the system creates simplified profile copies that contain only the essential settings and preferences needed for vehicle operation. When a device is identified as the operator's, a profile is generated or updated with relevant settings information. This copying approach enables personalized settings while minimizing data storage requirements and management complexity.
Data Source
AI summary
A computer includes a processor and a memory storing instructions executable by the processor to, in response to a mobile device synchronizing with a vehicle, identify a first profile from a plurality of profiles stored in the memory as associated with the mobile device by extracting a predetermined set of information from data storing contact information for a plurality of contacts on the mobile device and determining that the predetermined set of information matches data in the first profile; determine that a person associated with the first profile is an operator of the vehicle; and then perform an operation in accordance with at least one setting stored in the first profile.