Driver Service Selection Using Physiological State and Availability
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Solution Overview
Problem
Existing vehicle systems fail to effectively select relaxing or stimulating services suitable for the driver's physiological state, needs, and context, often providing unsuitable services due to the variety of options available.
Innovation Solution
A method that detects the driver's physiological state, external and internal vehicle context, availability, preferences, and experience level to select appropriate services, involving multiple selection phases and random selection when multiple services are available, using data from sensors and driving assistance systems to tailor services to the driver's conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wide variety of services are offered to the driver, then the adaptability and versatility of the system is improved, but the device complexity increases and the difficulty of selecting the appropriate service worsens
Solution Approach 1:
The system continuously monitors the driver's physiological state through sensors (heart rate, skin conductance, temperature, respiration) and uses this feedback to dynamically select and adjust services. This closed-loop feedback mechanism automates the selection process, resolving the complexity issue while maintaining service variety.
Solution Approach 2:
The system enables self-service by automatically detecting the driver's state and selecting appropriate services without requiring manual input or decision-making from the driver. The driver simply needs to provide physiological data, and the system handles the entire selection and execution process autonomously.
2Adaptability or versatility
If multiple services are simultaneously available based on driver state, then the adaptability is improved, but the difficulty of detecting and measuring the optimal service worsens
Solution Approach 1:
The service selection process is segmented into multiple phases: first filtering services based on physiological state correction needs, then further filtering based on driver availability, preferences, and experience level. This multi-stage segmentation makes it manageable to identify the optimal service from many options by breaking down the complex decision into smaller, more tractable steps.
Solution Approach 2:
The system changes multiple parameters simultaneously to identify the optimal service: physiological parameters (heart rate, skin conductance, temperature, respiration), contextual parameters (availability, preferences, experience level), and service characteristics (type, intensity, duration). By monitoring and adjusting these parameters, the system can precisely identify the most appropriate service.
3Reliability
If the system continuously monitors driver state and context, then the reliability of service selection is improved, but the use of energy increases
Solution Approach 1:
The system performs periodic monitoring of driver physiological state at regular intervals rather than continuous monitoring. Services are activated only when changes in physiological parameters exceed predefined thresholds, creating a periodic action pattern that reduces energy consumption while maintaining reliable detection of significant state changes.
Data Source
AI summary
A method selects a service for a driver of a motor vehicle from a list of services intended for the driver. The method enables a selection to be made in accordance with contexts relating to the driver, the vehicle and the external environment so as to optimise driver comfort and safety. The selection of at least one relaxing or stimulating service from a list of services is made according to the physiological state of the driver or according to the requirement of the driver, according to the driver's level of availability, according to the driver's usage preferences and according to data characterising the level of experience of the driver of the vehicle.