Snap inc. (20240211119). ANALYZING AUGMENTED REALITY CONTENT ITEM USAGE DATA simplified abstract
Contents
ANALYZING AUGMENTED REALITY CONTENT ITEM USAGE DATA
Organization Name
Inventor(s)
Per Sandell of Los Angeles CA (US)
Vincent Sung of Los Angeles CA (US)
ANALYZING AUGMENTED REALITY CONTENT ITEM USAGE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211119 titled 'ANALYZING AUGMENTED REALITY CONTENT ITEM USAGE DATA
The abstract of this patent application discusses the identification and analysis of usage metrics for augmented reality content to determine measures of fitness for respective usage metrics. These measures of fitness may indicate a level of correlation with an outcome specified by an augmented reality content creator and the amount of interaction with an augmented reality content item by users of a client application. Recommendations may be provided to augmented reality content creators indicating modifications to augmented reality content items that have at least a threshold probability of increasing the level of interaction between users of the client application and the augmented reality content item.
- Usage metrics for augmented reality content are identified and analyzed.
- Measures of fitness for usage metrics are determined to correlate with outcomes specified by content creators.
- Recommendations are provided to improve interaction between users and augmented reality content items.
- Modifications to content items are suggested based on the analysis of usage metrics.
- The goal is to increase the level of interaction between users and augmented reality content.
Potential Applications: This technology could be used in the development and optimization of augmented reality content for various industries such as gaming, education, marketing, and training.
Problems Solved: This technology addresses the challenge of determining the effectiveness of augmented reality content and improving user interaction with such content.
Benefits: - Enhanced user engagement with augmented reality content - Improved outcomes for content creators - Data-driven recommendations for content optimization
Commercial Applications: This technology could be valuable for companies developing augmented reality applications for consumer engagement, advertising, and training purposes. It could also be useful for content creators looking to enhance the user experience of their augmented reality content.
Prior Art: Researchers and developers in the field of augmented reality technology may have explored similar methods for analyzing usage metrics and improving user interaction with content. It would be beneficial to review existing literature and patents in this area.
Frequently Updated Research: Stay informed about the latest advancements in augmented reality technology, user interaction analysis, and content optimization to ensure the effectiveness of this technology in practical applications.
Questions about Augmented Reality Content Optimization: 1. How can augmented reality content creators benefit from the analysis of usage metrics? - Augmented reality content creators can use the analysis of usage metrics to understand user behavior and preferences, leading to more effective content optimization.
2. What are some potential challenges in implementing recommendations for augmented reality content modifications based on usage metrics? - One potential challenge could be the need for continuous monitoring and adjustment of content based on evolving user interactions and preferences.
Original Abstract Submitted
usage metrics for augmented reality content may be identified and analyzed to determine measures of fitness for respective usage metrics. the measures of fitness may indicate a level of correlation with an outcome specified by an augmented reality content creator and an amount of interaction with an augmented reality content item by users of a client application. recommendations may be provided to augmented reality content creators indicating modifications to augmented reality content items that have at least a threshold probability of increasing the level of interaction between users of the client application and the augmented reality content item.
