AR Content Usage Analytics for User Profiling and Targeting
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Solution Overview
Problem
Existing systems and methods provide limited information to augmented reality content creators about user interactions with their content, lacking granularity and user characteristic data, which hinders tailored content creation and targeted marketing.
Innovation Solution
A system and method for collecting and analyzing augmented reality content usage data, including tracking user interactions with specific features and profiling users to provide detailed insights for content creators, enabling targeted content delivery and marketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality content creators provide detailed user interaction and characteristic data, then content tailoring and targeted marketing improve, but data collection and system complexity increase
Solution Approach 1:
The system segments user interaction data into distinct categories including interaction type, duration, frequency, and user characteristics. This segmentation allows detailed analysis of specific interaction patterns (e.g., viewing duration of AR content, number of times a feature is activated) while maintaining manageable data structures that can be processed to generate targeted marketing insights without overwhelming system complexity
Solution Approach 2:
The patent introduces an intermediary data processing layer that collects raw interaction data from AR content usage, aggregates it with user profile information, and transforms it into actionable insights. This intermediary layer acts as a mediator between raw data collection and marketing application, simplifying the overall system architecture while enabling detailed content tailoring through processed data products
2Measurement precision
If user interaction data is tracked and analyzed in detail, then user characterization and targeting improve, but information processing requirements increase
Solution Approach 1:
The system extracts and isolates specific meaningful patterns from the vast amount of raw interaction data, such as identifying users who engage with AR content for extended periods or who interact with specific features repeatedly. By extracting only the most relevant interaction signatures and user characteristics, the system achieves precise user characterization while minimizing the processing overhead of analyzing every data point
Solution Approach 2:
The patent implements preliminary data processing actions where user profiles and interaction patterns are pre-processed and stored in structured formats before actual analysis occurs. This preliminary organization of data reduces the computational burden during analysis phases, allowing detailed measurement of user interactions without proportionally increasing real-time processing requirements
Data Source
AI summary
In one or more implementations, user interfaces may be generated that include user interface elements that enable the tracking or monitoring of interactions with augmented reality content by users of a client application. Usage metrics for augmented reality content may be collected and analyzed. In addition, information about client application users that interact with augmented reality content may be generated. In one or more examples, characteristics of users of the client application that interact with one or more augmented reality content items may be analyzed to determine a user characterization for one or more augmented reality content items. The usage metrics and user characterizations for augmented reality content items may be presented via a dashboard that is accessible to creators of augmented reality content.