Content Suggestion Interface with Dual Viewing Windows

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Solution Overview

Problem

Users face challenges in accessing additional relevant information while viewing content, as existing technologies limit their ability to automatically provide supplementary data, leading to time-consuming manual searches and potential outdated or unreliable information.

Innovation Solution

A computing system that processes content data using machine-learned models to determine additional content associated with displayed content, providing an interface that suggests relevant information and actions, such as purchase links or augmented reality experiences, without requiring user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual searching and bookmarking are required to access additional information, then information completeness can be improved, but user time consumption and operational complexity increase

Engineering Contradiction:

Improveinformation completenessVSAvoiduser time consumption

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically determining and preparing additional content related to the displayed content before the user needs it. The computing system proactively analyzes the displayed content, identifies relevant additional content, and prepares it for immediate presentation, eliminating the need for users to manually search and bookmark information.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides self-service by automatically determining additional content without requiring user intervention. The computing system independently analyzes displayed content, identifies relevant supplementary information, and presents it through the interface, freeing users from manual searching and information gathering tasks.

Inventive Principle:

Principle #25Self-service

2Reliability

If manual searching is required to find additional information, then information reliability can be improved through user selection, but productivity and time efficiency deteriorate

Engineering Contradiction:

Improveinformation reliabilityVSAvoidtime efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs self-service by automatically determining additional content based on the displayed content without requiring user initiation. The computing system independently analyzes the content, identifies relevant supplementary information, and presents it through the interface, improving productivity while maintaining reliability through systematic content analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces the mechanical manual searching process with an automated computing system that uses algorithms and machine learning models to determine additional content. This substitution eliminates the need for manual browsing and selection while maintaining information quality through automated content analysis and relevance determination.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If additional content is automatically determined and presented, then user experience and information accessibility are improved, but interface complexity and device processing requirements increase

Engineering Contradiction:

Improveinformation accessibilityVSAvoidinterface complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system applies segmentation by dividing the interface into distinct functional areas: the displayed content area and the additional content presentation area. The additional content is presented in a structured format with clear visual separation, allowing users to access supplementary information without being overwhelmed by interface complexity. The content is segmented into relevant categories and presented progressively based on user interaction.

Inventive Principle:

Principle #1Segmentation

4Loss of information

If comprehensive additional content is provided, then information completeness is improved, but processing time and computational resources increase

Engineering Contradiction:

Improveinformation completenessVSAvoidprocessing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system applies partial action by determining and presenting only the most relevant additional content rather than comprehensively analyzing and displaying all possible related information. The computing system uses machine learning models to identify and prioritize the most valuable supplementary content, presenting a curated subset that maintains information completeness while reducing processing time and computational resource requirements.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12189700B2Presenting related content while browsing and searching content

Publication Date: 2025.01.07 GOOGLE LLC

AI summary

Systems and methods for presenting an interface for additional content suggestion can include obtaining data descriptive of the displayed content and determining additional content associated with the displayed content. An interface can then be provided that displays data associated with the displayed content and the additional content. The interface can include a first viewing window for displaying a portion of the displayed content and a second viewing window for displaying a snippet associated with the additional content.