Human-Digital Media Interaction Tracking System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current digital media tracking products do not comprehensively monitor and analyze the effects of digital media usage on cognitive function and development, nor do they evaluate behavioral implications, despite research suggesting that digital media can stimulate brain activity and improve cognitive development.
Innovation Solution
A system and method for tracking human-digital media interaction across multiple computing devices, aggregating and analyzing user behavior data to evaluate cognitive tasks and brain areas stimulated, providing recommendations for improving cognitive functions and stimulating specific brain areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive tracking and analysis of digital media usage effects on cognitive function is implemented, then cognitive health evaluation capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a mapping database as an intermediary component that stores pre-established relationships between digital media characteristics and cognitive tasks. This mapping database acts as a mediator between the tracking system and cognitive evaluation, allowing the system to leverage existing research correlations without requiring complex real-time analysis algorithms, thus improving measurement precision while managing system complexity
Solution Approach 2:
The patent performs preliminary action by pre-establishing mappings between digital media characteristics and cognitive tasks before actual tracking occurs. The mapping database is populated in advance with research-based correlations, allowing the tracking system to simply query and aggregate data rather than perform complex real-time cognitive analysis, resolving the contradiction between evaluation accuracy and system complexity
2Quantity of substance
If tracking data is aggregated across multiple computing devices, then data completeness is improved, but data processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the tracking system into device-specific components and a central aggregation component. Each computing device independently tracks and processes its own usage data locally, then transmits segmented data to a central system for aggregation. This segmentation allows data completeness to improve across multiple devices while keeping individual device complexity low
Solution Approach 2:
The patent implements universality through a standardized data aggregation framework that can handle tracking data from multiple different computing devices (personal computers, portable media players, mobile phones). The universal aggregation system processes diverse device data through a common interface and mapping database, enabling comprehensive cross-device tracking without requiring device-specific complex processing logic at each endpoint
Data Source
AI summary
A system for human-digital media interaction tracking. One example system includes a database that stores information regarding a user's activity history for various different cognitive tasks, and a computing device that receives user behavior information indicating usage by a user of an interactive software program, the interactive software program associated with at least one of the cognitive tasks. The computing device, in response to the receipt of user behavior information indicating usage by the user of the interactive software program, updates the database information regarding the user's activity history for the at least one of the cognitive tasks.