Extended Reality Application Matching Using Environmental and User Features

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Solution Overview

Problem

Users are often unaware of which extended reality applications are compatible with their current environment and how to configure it for an optimal experience, leading to suboptimal interactions.

Innovation Solution

An extended reality system determines environmental and user features to provide recommendations for compatible applications and modifications, using sensors to scan the environment and user data to generate match scores and suggest suitable applications and adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the extended reality system provides comprehensive environmental scanning and application recommendations, then user experience and application compatibility improve, but system complexity and processing requirements increase

Engineering Contradiction:

Improveapplication compatibilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the recommendation generation process into distinct modules: environmental feature detection, user feature analysis, application compatibility matching, and recommendation output. Each module handles specific tasks independently, reducing overall system complexity while maintaining comprehensive functionality.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary recommendation engine that acts as a mediator between the extended reality system and the user. This intermediary processes environmental and user features to generate application recommendations, simplifying the interaction complexity while improving adaptability.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If the system scans and analyzes environmental features in real-time, then recommendation accuracy improves, but processing time and energy consumption increase

Engineering Contradiction:

Improveenvironmental detection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary environmental scanning and feature extraction before generating application recommendations. By pre-processing environmental data and maintaining an updated environmental profile, the system reduces real-time processing requirements while maintaining high detection accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system selectively processes only the most relevant environmental features for recommendation generation rather than analyzing every environmental parameter in full detail. This partial processing approach reduces computation time while maintaining sufficient accuracy for effective recommendations.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250252689A1Recommendations for extended reality systems

Publication Date: 2025.08.07 QUALCOMM INC

AI summary

Techniques and systems are provided for providing recommendations for extended reality systems. In some examples, a system determines one or more environmental features associated with a real-world environment of an extended reality system. The system determines one or more user features associated with a user of the extended reality system. The system also outputs, based on the one or more environmental features and the one or more user features, a notification associated with at least one application supported by the extended reality system.