Adaptive Dark Ride System Using User History Feedback
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Solution Overview
Problem
Interactive dark rides in amusement parks lose user interest after repeated visits as the experience remains static, failing to adapt to individual user interactions and histories.
Innovation Solution
A method and system that utilize a first input mobile element associated with a user, detecting interactions and sending feedback information to an electronic system for adaptive experience modification based on user history, including unique IDs and electronic communication, to provide non-linear interactivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the same static interactive dark ride experience is provided to users on repeated visits, then the system complexity is low and easy to operate, but user interest and engagement drop significantly after the first visit
Solution Approach 1:
The patent implements dynamics by transforming the static dark ride experience into a dynamic one that adapts to user interactions. The system modifies the narrative, targets, and gameplay elements based on real-time user actions and historical data, ensuring each visit presents new challenges and stories while maintaining manageable system architecture through modular design
Solution Approach 2:
The patent employs feedback mechanisms where user interactions are continuously monitored, analyzed, and used to adjust the experience. The system provides immediate feedback through the mobile element and environmental responses, while long-term feedback loops adapt the narrative based on cumulative user history, maintaining engagement without requiring excessive system complexity
2Adaptability or versatility
If the interactive dark ride experience is made adaptive to user history and interactions, then user interest is maintained over multiple visits, but the device complexity increases due to determination means and memory systems
Solution Approach 1:
The patent applies universality by designing the determination means and memory systems to serve multiple functions: tracking user history, analyzing interactions, determining adaptive narratives, and coordinating environmental responses. This multi-functional approach maintains experience adaptation while minimizing the number of separate components needed
Solution Approach 2:
The patent introduces an intermediary processing layer between user interactions and the actual experience delivery. The determination means acts as a mediator that processes raw interaction data, consults historical information, and translates it into appropriate narrative and environmental responses, simplifying the overall system architecture while enabling sophisticated adaptation
3Adaptability or versatility
If feedback information is provided to users based on their interaction history, then user engagement is enhanced, but the loss of information increases due to storage and processing requirements
Solution Approach 1:
The patent extracts only the essential information from complete interaction histories and stores/processes only these key features. Rather than retaining all raw interaction data, the system extracts meaningful patterns and summary representations that enable personalized feedback while minimizing information storage and processing requirements
Solution Approach 2:
The patent applies partial action by processing and storing only the necessary portions of user interaction data required for feedback generation. The system selectively retains information that directly impacts narrative adaptation and feedback personalization, avoiding unnecessary data retention and reducing the information burden while maintaining effective user engagement
Data Source
AI summary
The present disclosure relates to a method for providing interactivity between an electronic system and a first user visiting a facility such as, for example, an amusement park. The first user is identified and provided with a first input mobile element. The first input mobile element interacts with input fixed elements. The interaction results in a feedback that is provided, through output means to the first user or his first input mobile element. The feedback is preferably determined according to the history of the first user.