Reality Transition Shock Prevention via Object Distance Adjustment
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Solution Overview
Problem
Users experience disorientation, motion sickness, and nauseousness when transitioning between virtual reality, augmented reality, and real reality environments, degrading the overall user experience.
Innovation Solution
A computer-implemented method that uses a statistical model to predict transitions between realities, monitors user actions, and modifies the distance of objects from a reference point in the environments to prevent adverse symptoms by adjusting the distance based on predicted transition shock probabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user transitions between virtual reality and augmented reality environments, then the user can access diverse reality experiences, but the user experiences disorientation, motion sickness, and nauseousness
Solution Approach 1:
The system performs preliminary actions by detecting user actions that indicate an intended transition between realities before the transition occurs. A statistical model predicts the probability of transition shock events based on monitored user actions, and the system proactively modifies object distances in advance to prevent the harmful effects of transition shock
Solution Approach 2:
The system changes physical parameters of the virtual environment by modifying the distance of objects from a reference point. When transition shock probability exceeds a threshold, the system adjusts object distances to values that minimize the likelihood of disorientation and motion sickness, thereby resolving the contradiction between enabling transitions and preventing harmful effects
2Object-affected harmful factors
If the distance of objects is modified to prevent transition shock, then user comfort improves, but the complexity of the system increases
Solution Approach 1:
The system implements feedback by continuously monitoring user actions and using a statistical model to assess the probability of transition shock events. This feedback loop enables the system to dynamically adjust object distances only when necessary, balancing user comfort with system simplicity by avoiding unnecessary modifications
3Reliability
If the system monitors user actions and predicts transitions, then transition shock can be prevented, but the processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary detection and prediction of user transitions using a statistical model that analyzes monitored user actions. By predicting transition shock probability before the transition occurs, the system can prepare appropriate object distance modifications, improving reliability while managing complexity through proactive rather than reactive processing
Data Source
AI summary
A method, system and computer program product for transitioning between different realities. The distance of the objects from a reference point in the first and second reality environments is determined. For example, the distance of the object's location in the first reality environment from a reference point (e.g., camera system) as well as the distance of the object's location in the second reality environment from the reference point is determined. A determination is made as to whether the likelihood of a transition shock event (e.g., motion sickness) occurring as a user transitions between the first and second reality environments exceeds a threshold value. In response to the likelihood of the transition shock event occurring exceeding the threshold value, the distance of the object from the reference point in the first and/or second reality environments is modified so as to prevent users from experiencing transition shocks when transitioning between realities.