AR Device Eye Tracking Content Injection
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Solution Overview
Problem
Current augmented reality systems fail to effectively capture and respond to a user's focal points in real-time, leading to a lack of personalized and engaging interactions, particularly in scenarios where specific object replacements are needed to enhance user experience or promote brand familiarity.
Innovation Solution
An augmented reality device captures a user's focal points using sensors and injects relevant objects into a virtualized view, modifying the simulation to create a non-intrusive and contextually relevant experience by replacing generic objects with specific ones, leveraging eye tracking, image recognition, and IoT connections to prioritize user interest and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality systems use generic objects in simulations, then device complexity is reduced, but user engagement and personalization are compromised
Solution Approach 1:
The system pre-captures user focal points and objects of interest before the augmented reality simulation begins. By storing this information in advance, the system can quickly personalize the simulation without requiring complex real-time analysis during operation, thus achieving personalization while controlling system complexity
Solution Approach 2:
The patent introduces an intermediary processing layer that captures user attention data through sensors and translates it into personalized simulation content. This intermediary system acts as a mediator between the user and the simulation, handling the complexity of personalization separately from the core simulation engine
2Productivity
If augmented reality systems capture and respond to user focal points in real-time, then user engagement increases, but system complexity and processing requirements increase
Solution Approach 1:
User focal points and objects of interest are captured and stored before the simulation begins. This preliminary data collection allows the system to pre-process and organize personalization data, reducing the computational burden during real-time simulation execution while maintaining high user engagement
Solution Approach 2:
The system uses the user's own focal point data to automatically generate personalized simulation content without requiring external intervention or complex real-time processing. The pre-captured data serves the system's personalization needs autonomously, reducing processing requirements
3Adaptability or versatility
If specific objects are injected into virtualized views, then brand familiarity and positive associations increase, but the intrusion level and user experience disruption may increase
Solution Approach 1:
Branded objects are selectively injected only in specific regions or contexts within the simulation where they are most relevant to the user's focal points. Rather than uniformly placing branded content throughout the simulation, the system applies local customization based on user attention data, reducing intrusiveness while enhancing brand familiarity
Solution Approach 2:
The system applies partial injection of branded objects rather than complete replacement of all simulation elements. By selectively introducing branded content only where appropriate and relevant, the system achieves brand integration goals while avoiding excessive intrusion that would disrupt the user experience
Data Source
AI summary
In an approach for augmented reality, a processor captures an object, via a sensor, that has captured an attention of a user. A processor injects the object in a virtualized view into an augmented reality simulation. A processor modifies the augmented reality simulation around the object in the virtualized view in a non-intrusive way.