Real-Time Smart Overlays for Relevant Interactive Display Content
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Solution Overview
Problem
User interfaces with irrelevant content hinder user experience by obscuring essential information and reducing usability, as they often clutter layouts with excessive elements.
Innovation Solution
A computer-implemented method and system for generating a smart overlay in an interactive display that dynamically adjusts based on real-time event data, user interactions, and user actions, using machine learning models to prioritize relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional user interfaces display all available content, then information completeness is improved, but user experience deteriorates due to clutter and irrelevance
Solution Approach 1:
The system applies local quality by customizing the display content for each user based on their profile, preferences, and interaction history. Different users see different subsets of content tailored to their specific needs, rather than a uniform display for all users. This resolves the contradiction by ensuring each user receives complete relevant information without being overwhelmed by irrelevant content.
Solution Approach 2:
The overlay interface is dynamically adjusted in real-time based on user interactions, event data, and contextual factors. The system continuously learns from user behavior and modifies the displayed content accordingly, transforming from a static information display to a dynamic adaptive interface that evolves with user needs.
2Loss of information
If the interface includes excessive elements, then information completeness is improved, but usability deteriorates due to clutter
Solution Approach 1:
The system extracts and removes irrelevant content elements from the interface display based on user-specific relevancy thresholds. By filtering out unnecessary elements while retaining essential information, the system achieves usability improvement without sacrificing important content, directly resolving the contradiction between information completeness and usability.
3Loss of information
If irrelevant content is displayed, then information completeness is improved, but effectiveness deteriorates by obscuring critical actions
Solution Approach 1:
The system changes the parameter of content relevancy by dynamically adjusting what content is displayed based on user profiles, interaction patterns, and contextual event data. By modifying the relevancy parameters in real-time, the system ensures critical actions and information remain visible while maintaining overall information completeness.
4Device complexity
If static overlays are used, then device complexity is reduced, but adaptability deteriorates
Solution Approach 1:
The overlay system performs self-service by automatically adapting its content based on user interactions and event data without requiring manual reconfiguration. The system learns from user behavior patterns and autonomously adjusts the displayed information, achieving high adaptability while maintaining relatively simple system architecture.
Data Source
AI summary
Techniques described herein relate to a computer-implemented method for generating a smart overlay in an interactive display. The method may include receiving a plurality of real-time event data comprising a plurality of real-time event actions, receiving a plurality of user data comprising a plurality of user actions, capturing one or more real-time user interactions with the interactive display, generating a unique relevancy threshold using the plurality of real-time event actions, the plurality of user actions, and the one or more real-time user interactions, as the plurality of real-time event data and the one or more real-time user interactions are received, generating, in real-time, at least one unique smart overlay that may have a relevancy that exceeds the unique relevancy threshold, and updating, in real-time, the interactive display with the at least one unique smart overlay.