Adaptive Control System for Simulation Ride Experience Consistency
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Solution Overview
Problem
In hybrid entertainment systems combining traditional amusement rides with video gaming and simulation technologies, user inputs can negatively affect other participants' experiences due to discrepancies between received and expected inputs, leading to variations in ride length, difficulty, and disruptions.
Innovation Solution
An automated dynamic adaptive control system that includes a processor to receive user inputs, identify discrepancies, and modify their effects by reconfiguring, filtering, or decoupling user controls, providing interventions such as prompts, auto-pilot activation, or force feedback to maintain a consistent and enjoyable experience for all participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user inputs are directly applied to affect the entertainment experience, then participant interaction and engagement are improved, but variations in ride length, difficulty, and experience consistency occur
Solution Approach 1:
The system continuously monitors user inputs and compares them against expected input patterns for each ride segment. When discrepancies are detected (such as absence of expected inputs or excessive inputs), the system provides real-time feedback by identifying interventions and modifying control effects to bring the experience back within acceptable parameters, thus maintaining consistency while preserving interaction.
Solution Approach 2:
The control system dynamically adjusts the effect of user inputs based on real-time conditions. The processor modifies control responses adaptively - sometimes fully applying user inputs, sometimes partially filtering them, and occasionally decoupling controls entirely - depending on whether the inputs align with expected patterns for the current ride segment, ensuring experience consistency while maintaining engagement.
2Reliability
If automated intervention is applied to correct user input discrepancies, then experience consistency is improved, but system complexity increases
Solution Approach 1:
The ride experience is divided into multiple segments with predefined expected input patterns for each segment. The monitoring system evaluates user inputs segment-by-segment rather than as a continuous stream, simplifying the complexity by breaking down the overall control problem into manageable discrete evaluations at each ride stage.
Solution Approach 2:
The system modifies the effect of user inputs by changing control parameters dynamically - adjusting the degree of filtering applied, the level of decoupling, or the intensity of force feedback - based on the specific type of discrepancy detected. This allows nuanced intervention that maintains experience consistency without requiring completely complex system redesign.
3Reliability
If user controls are filtered or decoupled to mitigate inappropriate inputs, then experience consistency is improved, but participant engagement and interaction quality deteriorate
Solution Approach 1:
The system applies filtering or decoupling only partially - not completely disabling user controls - but rather modulating the effect of inputs based on the severity and type of discrepancy. When inputs deviate from expected patterns, the system adjusts the degree of control modification rather than completely taking away participant engagement, thus maintaining both consistency and interaction quality.
Data Source
AI summary
Systems and methods for automated dynamic adaptive control are disclosed herein. The system can include a simulation vehicle that can transit at least one participant through an entertainment experience from a starting positon to a terminating position. The simulation vehicle can include a plurality of user controls. The system can include a processor that can: provide content to the at least one participant; receive user inputs via the plurality of controls of the simulation vehicle. The processor can: affect the entertainment experience based on the received user inputs; identify an intervention based on a determined discrepancy between received user inputs and expected user inputs; and modify an effect of the user inputs on the entertainment experience according to the identified intervention.