Vehicle Physiological Feedback Control for Stress Reduction
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Solution Overview
Problem
Existing methods for improving a user's physiological state in a motor vehicle do not allow the user to influence the measures taken to enhance their condition, leading to ineffective stress reduction and lower customer satisfaction.
Innovation Solution
A method that determines an index value from vital physiological data at two points in time to assess the effectiveness of actuator functions in improving the user's state, allowing the vehicle to 'learn' and adapt by selecting the most efficient actuator functions based on individual preferences, using a control device and sensor device to activate and evaluate the impact of massage, audio, lighting, and other functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle activates actuator functions to improve the user's physiological state, then the user's well-being is enhanced, but the user cannot influence which measures are taken
Solution Approach 1:
The system measures the user's physiological state before and after activating actuator functions, using this feedback to determine which measures are most effective for each individual user, thereby resolving the contradiction between automated effectiveness and user control
Solution Approach 2:
The vehicle system autonomously selects and activates the most effective actuator functions based on measured physiological data and learned user preferences, allowing the system to serve itself in optimizing user well-being without requiring direct user intervention
2Reliability
If the vehicle uses generic actuator functions to improve physiological state, then implementation is simple, but the stress reduction effectiveness is limited
Solution Approach 1:
The system dynamically adapts the selection of actuator functions based on real-time physiological measurements and learned user preferences, transitioning from static generic functions to dynamic personalized interventions
Solution Approach 2:
The system changes the parameters of actuator function selection based on measured physiological state and user-specific learning, optimizing which functions are activated and when, thereby improving effectiveness without requiring completely new device architectures
Data Source
AI summary
A method is disclosed for operating a motor vehicle, wherein a control device determines a first index value from vital physiological data received from a sensor device at a first point in time. The control device generates a first actuator signal describing the activation of first actuator function, to be carried out by a first actuator that is selected based on the first index value. At a second point in time, the sensor device records additional vital physiological data and identifies a second index value. Both index values, each describing a physiological state of the user, are compared, and the result is used to determine whether the second index value meets an efficacy criterion that describes a predetermined degree of improvement in the physiological state brought about by the activated actuator function. If the second index value meets the efficacy criterion, the first actuator function is activated as soon as an index value is identified that describes the same physiological state.