Autonomous Vehicle Content Rotation for Motion Sickness
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Solution Overview
Problem
Existing autonomous vehicle display systems are limited by fixed presentations that can cause discomfort to users, such as nausea, due to their inability to adapt to user behavior and vehicle actions.
Innovation Solution
A system that integrates smart seat sensor data from tactile-sensitive surfaces with other vehicle sensors to estimate user behavior, allowing for dynamic adjustment of interactive content, such as rotating or adjusting playback speed, based on predicted vehicle actions and user behavior, and presenting this content on interior surfaces like windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed predetermined presentations are displayed in the autonomous vehicle, then the display system is simple and easy to implement, but user comfort deteriorates due to motion sickness and nausea
Solution Approach 1:
The display system transitions from static fixed presentations to dynamic adaptive content delivery. The system dynamically adjusts content selection, orientation, and playback parameters based on real-time sensor data about vehicle motion and user behavior, resolving the contradiction between simplicity and user comfort by introducing controlled adaptability
Solution Approach 2:
The system implements feedback loops by continuously monitoring sensor data from smart seats and other vehicle sensors, then using this information to adjust display content in real-time. This feedback mechanism enables the system to respond to user comfort levels and vehicle actions, improving user experience without requiring overly complex manual controls
2Adaptability or versatility
If the display system adapts to user behavior and vehicle actions, then user comfort improves, but the device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The system employs multi-functional sensor integration where smart seat sensors serve multiple purposes: detecting user presence, monitoring user behavior, and providing comfort data. This universal approach allows the same sensor infrastructure to support various adaptive functions, reducing overall system complexity while maintaining high adaptability
Solution Approach 2:
The system performs preliminary analysis of sensor data to predict user behavior and vehicle actions before content delivery. By pre-processing sensor information and anticipating future states, the system reduces the computational complexity of real-time decision-making while maintaining responsive adaptability
3Adaptability or versatility
If interactive content is adjusted based on predicted vehicle actions, then user immersion improves, but processing time and computational requirements increase
Solution Approach 1:
The system predicts future vehicle actions and pre-adjusts content parameters before the actions occur. By anticipating vehicle motion and preemptively modifying content orientation and playback settings, the system eliminates real-time processing delays while maintaining responsive adaptability to actual vehicle behavior
Data Source
AI summary
A method comprises obtaining autonomous vehicle sensor data of an autonomous vehicle. One or more autonomous vehicle actions of the autonomous vehicle are predicted based on the autonomous vehicle sensor data. Interactive content is identified from a library of interactive content. The interactive content is adjusted based on the predicted one or more autonomous vehicle actions, and the adjusted interactive content is presented within the autonomous vehicle.