User Engagement Determination via Decision Node Tree Analysis
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Solution Overview
Problem
Current techniques for assessing user engagement with digital devices do not fully utilize the capabilities of digital devices, particularly in measuring the effectiveness of advertising and user interactions, and lack privacy protection for user data.
Innovation Solution
A method and system for determining user engagement by analyzing a decision node tree, tracking user traversed levels, and calculating engagement based on user interactions, which allows for privacy preservation by not directly accessing raw data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct access to raw user data is used for engagement assessment, then measurement precision is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent introduces an intermediary processing layer that transforms raw user interaction data into aggregated engagement metrics without exposing individual user data. The system processes data through multiple layers including device-level aggregation, network-level processing, and cloud-based analysis, ensuring that no single entity has direct access to raw personal data while still enabling comprehensive engagement measurement.
2Measurement precision
If comprehensive user interaction tracking is implemented, then engagement assessment accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the engagement measurement system into multiple independent components: local device agents that collect and pre-process data, regional servers that aggregate data from multiple devices, and central cloud platforms that perform final analysis. Each segment handles a specific portion of the data processing pipeline, reducing the complexity burden on any single component while maintaining comprehensive measurement capability.
Solution Approach 2:
The patent transitions from centralized data processing to a multi-dimensional distributed architecture where data is processed across spatial (multiple devices and servers) and temporal (real-time and batch processing) dimensions. This dimensional transformation allows the system to handle comprehensive tracking data without concentrating all processing complexity in a single location.
3Measurement precision
If detailed user behavior data is collected, then advertising effectiveness measurement is improved, but resource consumption increases
Solution Approach 1:
The patent implements partial data collection strategies where only relevant engagement metrics are tracked based on advertising campaign objectives. The system selectively monitors specific user interactions (such as ad impressions, clicks, and conversions) rather than capturing all possible user behaviors, thereby reducing data collection overhead and energy consumption while maintaining measurement precision for advertising effectiveness.
Data Source
AI summary
Systems and methods are disclosed for determining an engagement level of a user interacting with an electronic program, comprising receiving or determining a decision node tree, each node in the decision node tree corresponding to a user decision point in the electronic program, determining a number of levels in the decision node tree, determining a user traversed count comprising a number of levels the user has traversed in the decision node tree, and determining the engagement level of the user with the electronic program based upon the user traversed count and the number of levels in the decision node tree.