AR Motion Sickness Response Using Sensor-Driven Personalization
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Solution Overview
Problem
Motion sickness is difficult to manage as existing methods often fail to be effective across multiple environments and do not account for individual user responses to triggering factors.
Innovation Solution
A system utilizing augmented reality (AR) devices to detect triggering environments and generate personalized responses based on user data, including biometric and contextual information, to reduce motion sickness through stimuli adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional motion sickness reduction methods are used, then they may work in some environments, but they fail to be effective across multiple environments and do not account for individual user responses
Solution Approach 1:
The system dynamically adapts to different environments and individual users by continuously collecting sensor data (accelerometer, gyroscope, barometer, GPS) and adjusting the AR content and parameters in real-time. The motion sickness reduction technique is not static but evolves based on environmental conditions and user response, allowing effectiveness across multiple environments without requiring multiple dedicated systems.
Solution Approach 2:
The system monitors user biometric data and environmental sensors to automatically detect motion sickness episodes and trigger appropriate AR-based interventions without requiring external medical equipment or complex diagnostic procedures. The AR device itself serves as both the detection and treatment platform, reducing overall system complexity while maintaining versatility.
2Reliability
If augmented reality devices are used to detect triggering environments and provide personalized responses, then motion sickness episodes are effectively reduced, but the system requires multiple sensors and data analysis components
Solution Approach 1:
The patent combines multiple sensor functions (accelerometer, gyroscope, barometer, GPS) and data processing capabilities into a single integrated AR device platform. Rather than using separate devices for detection and treatment, the system merges environmental sensing, biometric monitoring, and AR content delivery into one unified system, maintaining reliability while managing complexity through integration.
Solution Approach 2:
The AR device is designed to perform multiple functions: it serves as an environmental sensor, a biometric monitor, a motion detection device, and a content delivery platform all in one. This multi-functionality allows the system to achieve reliable motion sickness reduction without requiring a complex array of separate specialized devices, as the AR device itself becomes a universal platform for detection and intervention.
3Adaptability or versatility
If traditional motion sickness methods are used, then they are simpler to implement, but they fail to provide personalized ameliorative techniques that can be updated and improved over time
Solution Approach 1:
The system continuously monitors user response to motion sickness episodes and AR interventions, using this feedback to refine and personalize future responses. By analyzing patterns in sensor data and user behavior, the system adapts its techniques over time to better suit individual users, achieving personalization while maintaining operational simplicity through automated learning rather than manual configuration.
Data Source
AI summary
A method, computer system, and a computer program product for reducing a motion sickness episode experienced by a user. The present invention may include detecting a triggering environment associated with the user, wherein detection of such environment utilizes a plurality of analyzed data associated with a plurality of sensors. The present invention may then include extracting a piece of data associated with the environment in further association with the motion sickness episode experienced by the user. The present invention may also generate one or more responses based on the extracted piece of data associated with the motion sickness episode. The present invention may then implement the generated one or more responses associated with the motion sickness episode by utilizing an augmented reality (AR) device. The present invention may further include providing a piece of feedback associated with the generated one or more responses associated with the motion sickness episode.