Digital Platform Configuration Using User-Perceived Design Metrics
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Solution Overview
Problem
Existing systems struggle to adapt designs for different computing devices, output formats, and individual viewer differences, and lack effective methods to quantitatively measure design effectiveness, particularly in terms of information communication.
Innovation Solution
An apparatus and method for automated configuration of digital platforms using design metrics, capturing user session information to generate a digital representation and evaluate accessibility, readability, and cognitive load, enabling automatic modification of platform configurations based on these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual design evaluation methods are used, then design customization can be performed, but measurement precision and productivity are insufficient
Solution Approach 1:
The patent replaces manual design evaluation methods with an automated system that uses machine learning models to evaluate design metrics. The system automatically processes user session data, generates digital representations of user-perceived content, and computes design evaluation metrics without human intervention, thereby improving both measurement precision and productivity.
Solution Approach 2:
The system enables self-service design evaluation by automatically capturing user session information, generating digital representations of content, and evaluating design metrics without requiring manual analysis. The automated process serves itself by continuously monitoring user interactions and producing evaluation reports independently.
2Adaptability or versatility
If designs are customized for different computing devices and viewers, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent implements dynamic design adaptation by automatically adjusting digital platform configurations based on real-time design evaluation metrics. The system dynamically modifies platform parameters such as content presentation, layout, and formatting according to evaluated design effectiveness, enabling flexible adaptation without manual configuration complexity.
Solution Approach 2:
The system uses feedback loops where design evaluation metrics are continuously monitored and fed back into the configuration process. The automated evaluation of user session data provides feedback that triggers automatic configuration modifications, enabling adaptive designs while simplifying the configuration process through automated decision-making.
Data Source
AI summary
An apparatus includes a processing device configured to capture user session information associated with one or more user sessions involving interaction of users with a digital platform and to generate, utilizing the captured user session information, a digital representation of user-perceived content of one or more portions of the digital platform that the users interacted with as part of the one or more user sessions. The at least one processing device is also configured to determine, utilizing the digital representation of the user-perceived content, one or more design evaluation metrics for a design of the one or more portions of the digital platform that the users interacted with as part of the one or more user sessions and to automatically modify a configuration of at least one of the one or more portions of the digital platform based at least in part on the determined design evaluation metrics.