Adaptive Digital Messaging for User-Proximity Display Legibility
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Solution Overview
Problem
Digital displays often provide content that is not relevant, engaging, or legible to users at varying distances, leading to inefficient energy consumption and limited interaction opportunities.
Innovation Solution
A system that adapts content and formatting based on user position, identity, and movement, using biometric detection and machine learning to personalize and optimize display elements for individual users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital displays provide static content to all users, then device complexity is reduced, but user engagement and legibility at varying distances deteriorate
Solution Approach 1:
The display system dynamically adjusts content and formatting based on real-time detection of user position data. The processor receives position data from detection components and automatically modifies display elements such as text size, content type, and layout to optimize legibility and engagement for users at varying distances, transforming a static display into an adaptive one.
Solution Approach 2:
The system changes display parameters including text size, content density, and formatting based on detected user proximity. When users are detected at different distances, the processor modifies these parameters automatically - enlarging text for distant users and providing detailed content for close users - without requiring manual intervention or complex hardware changes.
2Adaptability or versatility
If digital displays use fixed formatting, then ease of operation is improved, but user engagement and relevance deteriorate
Solution Approach 1:
The display system performs self-adjustment by automatically detecting user position and autonomously modifying content formatting without requiring manual control inputs. The processor receives position data and independently determines appropriate formatting changes, eliminating the need for users to manually adjust settings while maintaining ease of operation.
Solution Approach 2:
The system implements a feedback loop where detection components continuously monitor user position and provide data to the processor, which then adjusts display formatting in response. This closed-loop system uses real-time feedback about user proximity to automatically optimize content presentation, enhancing engagement while maintaining automatic operation.
3Loss of information
If digital displays show detailed content for all users, then information completeness is improved, but energy consumption increases
Solution Approach 1:
The system applies different content quality levels to different user scenarios based on detected position. Users at distant positions receive simplified content with larger text and key information, while users detected at close positions receive detailed comprehensive content. This localized quality adjustment ensures information completeness is maintained when needed while reducing energy consumption for distant users.
Solution Approach 2:
The display provides partial content (summary information) to users at distant positions rather than complete detailed content, and reserves full detailed content for users detected at close positions. This partial action approach reduces energy consumption for the majority of viewing scenarios while maintaining information completeness when users are appropriately positioned.
4Productivity
If digital displays use adaptive content based on user detection, then user engagement is improved, but device complexity increases
Solution Approach 1:
The display system integrates multiple functions into a single platform: content delivery, user detection, position analysis, and automatic formatting adjustment. The processor performs multiple tasks including receiving position data, determining user distance, selecting appropriate content, and applying formatting - all within one integrated system that enhances engagement without requiring separate dedicated devices for each function.
Data Source
AI summary
In some implementations, a system may receive, from at least one detection component, position data associated with a user. The system may obtain a set of display elements associated with the display. The system may obtain decision information defining one or more conditions for selecting one or more display elements from the set of display elements associated with the display. The system may select one or more display elements from the set of display elements based on the decision information, wherein the selected one or more display elements include at least one content asset and at least one display adaptation. The system may provide a set of instructions and the selected one or more display elements to the display.


