Digital Image Display With Automatic Context Retrieval

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Solution Overview

Problem

Existing digital display systems lack an interactive interface that automatically searches for and retrieves contextual information from hyperlinks and searches without requiring user input, failing to respond in real-time to user interactions and disrupting the browsing experience.

Innovation Solution

A computing system with a chatbot application that automatically searches for and retrieves contextual information based on user interactions, displaying it within the display space without requiring user input, using machine learning and blockchain technology to integrate contextual information with digital images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the system automatically searches for and retrieves contextual information without user input, then the ease of operation is improved, but the device complexity increases due to automated search and retrieval mechanisms

Engineering Contradiction:
Improveease of operationVSAvoiddevice complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system performs automated search and retrieval of contextual information without requiring user input or commands. The chatbot application independently monitors user interactions with digital images, extracts relevant context, and retrieves corresponding information from data sources, thereby serving itself rather than requiring manual user initiation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-configures automated search mechanisms that activate based on detected user interactions. When a user views or interacts with a digital image, the system has already prepared the contextual search framework and automatically executes it, retrieving and displaying relevant information without waiting for explicit user commands.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If the system responds in real-time to user interactions, then the productivity is improved, but the loss of time increases due to continuous monitoring and processing

Engineering Contradiction:
ImproveproductivityVSAvoidloss of time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The chatbot application continuously monitors user interactions with digital images in real-time, maintaining constant readiness to respond. The system operates persistently, tracking user behavior patterns and preparing contextual information retrieval operations, ensuring that relevant information is always available when needed without interruption.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system detects user interactions with digital images and automatically adjusts its search and retrieval operations based on this feedback. When users engage with specific images or content, the system uses this feedback to identify relevant contextual information and retrieve it promptly, creating a responsive feedback loop that optimizes real-time performance.

Inventive Principle:
Principle #23Feedback

3Loss of information

If the system integrates contextual information with digital images, then the loss of information is reduced, but the device complexity increases due to integration mechanisms

Engineering Contradiction:
Improveloss of informationVSAvoiddevice complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system embeds contextual information directly within or alongside the digital images they describe. The chatbot application layers additional information—such as descriptions, metadata, or related content—over the original image content, creating a nested structure where multiple levels of information coexist and remain accessible without losing the original image integrity.

Inventive Principle:
Principle #7Nested doll (Nesting)

Solution Approach 2:

The system combines digital images with their corresponding contextual information into a unified presentation. The chatbot application merges visual content with textual or data-based context, integrating them so that both elements work together seamlessly and cannot be easily separated, thereby preventing information loss.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS12455919B2System and method for automated integration of contextual information with a series of digital images displayed in a display space
Publication Date: 2025.10.28 TECTONIQ INC
  • US12455919B2 patent drawing
  • US12455919B2 patent drawing
  • US12455919B2 patent drawing

AI summary

A user interface application displays a series of digital images in a display space. A user interface receives input to select one of the series of digital images, or portion thereof. The user-selected digital image, or portion thereof, is displayed in a location with the field of view of the displayed series of digital images or display space. While the user interface application continues to display the series of digital images in the display space, an application, such as a chatbot, searches one or more digital data sources for, and retrieves, contextual information based on the displayed user-selected digital images or portion thereof, without receiving user input to perform the searching.