AI Ride Head Tracking for Dynamic Attention-Based Profiles

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Solution Overview

Problem

Existing amusement park rides with pre-programmed profiles fail to dynamically adjust to passenger interactions and attention, leading to a staged and unrealistic experience that limits engagement and immersion.

Innovation Solution

Implement a ride system with attention trackers and AI algorithms to predict passenger attention and adjust the ride's dynamic profile, including content rendering and vehicle movement based on real-time attention and physics models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If pre-programmed profiles are used to control ride vehicle movements and content rendering, then the ride system is simple to operate and control, but the passenger experience becomes staged and unrealistic, limiting engagement and immersion

Engineering Contradiction:

Improveride control simplicityVSAvoidride experience adaptability

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic ride profiles that continuously adapt to passenger behavior in real-time. Instead of static pre-programmed sequences, the system dynamically adjusts vehicle movements, content rendering, and environmental effects based on detected passenger actions, attention direction, and physiological responses, transforming the ride from a fixed script to a living, responsive experience

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates multiple feedback loops where sensors detect passenger interactions, attention tracking monitors where passengers are looking, and physiological sensors measure arousal levels. This feedback continuously informs the control system to adjust ride parameters, creating a closed-loop system that adapts to passenger responses rather than following a one-way predetermined sequence

Inventive Principle:

Principle #23Feedback

2Device complexity

If pre-programmed profiles determine passenger experience irrespective of passenger attention direction, then the ride system is easy to control, but the ability to immerse passengers in a realistic experience is limited

Engineering Contradiction:

Improvecontrol system simplicityVSAvoidexperience realism

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent replaces traditional mechanical control systems with fixed profiles with an intelligent system using machine learning algorithms and AI. These algorithms analyze passenger behavior patterns, attention direction, and physiological data to predict optimal ride responses, substituting rigid mechanical predetermined sequences with adaptive computational decision-making that enhances realism

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If attention tracking and AI prediction systems are implemented to predict future passenger attention and adjust content rendering, then passenger engagement and immersion are enhanced, but system complexity and processing requirements increase

Engineering Contradiction:

Improveride experience personalizationVSAvoidsystem architecture complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses AI algorithms to predict future passenger attention directions and reactions before they occur. By anticipating where passengers will look or what will excite them next, the system pre-positions content and adjusts ride parameters in advance, creating the appearance of instant responsiveness while actually using predictive modeling to reduce real-time computational burden

Inventive Principle:

Principle #10Preliminary action

4Productivity

If real-time attention tracking and AI algorithms are used to predict future attention and limit content rendering, then processing efficiency is improved and waste is reduced, but measurement and detection difficulty increases

Engineering Contradiction:

Improvecontent rendering efficiencyVSAvoidpassenger attention measurement

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements a multi-functional attention tracking system that simultaneously serves multiple purposes: detecting current attention direction, predicting future attention, measuring passenger arousal levels, and guiding content rendering decisions. This universal system consolidates what could be separate complex measurement functions into an integrated platform, reducing overall system complexity while improving rendering efficiency

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentEP4729141A2Artificial intelligence (AI)-assisted and dynamic ride profile head tracking systems and methods

Publication Date: 2026.04.22 UNIVERSAL CITY STUDIOS LLC

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AI summary

A ride system includes a ride vehicle configured to support a passenger over a ride period and a control system. The control system is configured to: estimate a future direction of attention of the passenger for at least a portion of the ride period using an artificial intelligence (AI) algorithm and maintain an environment of the passenger, wherein maintaining the environment comprises determining a change to a set of content of the environment based at least in part on the future direction of attention, wherein the change to the set of content comprises an addition of or elimination of an object or effect from the set of content.