Individual Motion Sickness Profiling for In-Vehicle Detection
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Solution Overview
Problem
Existing systems for addressing motion sickness in vehicle users are general and not tailored to individual users, leading to ineffective countermeasures.
Innovation Solution
A method and support system that creates an individual user profile by capturing specific characteristics using sensors and cameras, allowing for personalized detection and response to motion sickness through adaptive countermeasures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If general countermeasures are initiated for motion sickness, then motion sickness can be addressed, but the countermeasures are not tailored to individual users and may be initiated even when the user does not experience motion sickness
Solution Approach 1:
The system performs preliminary actions by capturing user characteristics and creating an individual user profile before motion sickness occurs. This profile includes baseline data about the user's physiological responses, allowing the system to compare current state against personalized thresholds rather than generic ones, thereby improving detection accuracy while maintaining manageable complexity through advance preparation
Solution Approach 2:
The system implements feedback mechanisms where the captured characteristics are continuously monitored and compared against the individual user profile. When deviations indicating motion sickness are detected, the system provides feedback by initiating targeted countermeasures. This closed-loop feedback ensures reliable detection while keeping the system structure organized and manageable
2Adaptability or versatility
If individual user profiling is implemented, then countermeasures can be tailored to each user, but this requires capturing and processing multiple user characteristics
Solution Approach 1:
The system applies universality by using a multi-functional electronic computing device that handles diverse capture devices (cameras, sensors), processes various types of user characteristics, creates user profiles, and executes countermeasures. This centralized multi-functional approach enables high adaptability and personalization while avoiding the complexity of multiple separate specialized systems
Solution Approach 2:
The system merges multiple capture devices and data processing functions into a unified user profiling framework. By combining camera-based eye tracking, sensor data, and user inputs into a single integrated profile, the system achieves comprehensive personalization without the complexity of managing separate systems for each characteristic
Data Source
AI summary
The disclosure relates to a method for creating an individual user profile in an event of an occurrence of motion sickness, including: providing an initial user profile for a user of a motor vehicle; capturing at least one characteristic currently characterizing the user of the motor vehicle; generating a user query; outputting the user query at an output device; capturing an input of the user of the motor vehicle based on the user query; linking the input of the user of the motor vehicle to the at least one characteristic currently characterizing the user of the motor vehicle; and creating the individual user profile by adapting the initial user profile based on the input of the user of the motor vehicle linked to the at least one characteristic currently characterizing the user of the motor vehicle. Furthermore, the disclosure relates to a computer program product, and a support system.