AI Vehicle Cabin Settings for Occupant Alertness and Relaxation
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Solution Overview
Problem
Existing vehicles lack the ability to dynamically adjust settings based on the occupant's state and time of day to enhance relaxation or alertness, leading to potential stress and discomfort during travel.
Innovation Solution
An AI-based system that analyzes occupant data, including sleep habits and circadian rhythms, to adjust vehicle settings such as lighting, audio, and seating configurations to promote relaxation or alertness based on the time of day.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If vehicle settings are adjusted dynamically based on occupant state and time of day, then occupant well-being and comfort are improved, but device complexity and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by analyzing occupant data (sleep habits, circadian rhythms) before the occupant enters the vehicle, pre-determining optimal settings. When the occupant enters, the system already has a prepared configuration ready to apply, reducing the need for complex real-time adjustments and sensors during the journey.
Solution Approach 2:
The system uses the occupant's own data (sleep patterns, circadian rhythm information) to automatically determine optimal settings without requiring external intervention or complex real-time monitoring. The occupant's historical data serves the occupant, reducing the need for additional sensors and complex control algorithms.
2Object-affected harmful factors
If multiple vehicle systems are adjusted based on AI model execution, then occupant comfort and alertness are optimized, but energy consumption increases
Solution Approach 1:
The system applies partial action by selectively adjusting only the specific vehicle systems that are most effective for the current situation rather than modifying all systems simultaneously. Based on the AI model's output and current context, the system chooses to adjust only necessary parameters (e.g., lighting and temperature only, or audio and seating only), reducing overall energy consumption while still achieving the primary goal of stress reduction.
3Ease of operation
If vehicle settings are customized based on individual profiles, then ease of operation and comfort are improved, but device complexity increases
Solution Approach 1:
The system uses a universal profile structure that can accommodate multiple occupants with different characteristics. The same AI model and adjustment mechanisms serve all occupants by simply switching between their stored profiles, eliminating the need for separate control systems for each user and reducing overall system complexity.
Data Source
AI summary
An example operation includes one or more of identifying a state of an individual associated with a vehicle based on data of the individual stored in a profile, determining a current time of day from a system of the vehicle, determining a setting to change on one or more systems within the vehicle based on execution of an artificial intelligence (AI) model on the state of the individual and the current time of day, and changing the setting on the one or more systems within the vehicle while the individual is within the vehicle.