Web Application Inbox Visualization via Dynamic UI Injection

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Solution Overview

Problem

Existing email user interfaces are inefficient and complex, requiring multiple steps to customize and filter emails, often relying on artificial intelligence that can produce false positives and negatives, limiting user customization and causing user frustration.

Innovation Solution

A system and method for visualizing digital content with a simplified user interface that allows users to customize their inbox or home view using a small set of graphical components, enabling intuitive and efficient filtering and sorting of digital content without requiring complex search queries or syntax knowledge, by injecting user interface and backend components into web-based applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If users manually apply multiple flags or create complex filters to filter emails, then email filtering capability is improved, but user interface complexity and ease of operation deteriorate

Engineering Contradiction:

Improveemail filtering capabilityVSAvoiduser interface complexity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system automatically identifies and applies relevant flags to emails based on AI analysis of content, sender, and context without requiring user intervention. The AI model processes emails and assigns appropriate flags (e.g., important, urgent, spam) automatically, allowing the system to serve itself rather than requiring users to manually configure complex filter rules.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operations (users manually creating filters and applying flags) with an AI-based automated system. The AI model analyzes email content and automatically applies appropriate flags and filtering rules, substituting the mechanical process of manual filter creation with intelligent automated classification.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If AI techniques are used to automatically filter emails, then filtering efficiency is improved, but user customization capability deteriorates

Engineering Contradiction:

Improvefiltering efficiencyVSAvoiduser customization capability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts between automated AI filtering and user customization. Users can modify AI-generated flags and filtering rules according to their preferences, and the system adapts to user feedback by learning from manual adjustments. This creates a dynamic balance where AI provides initial filtering efficiency while user input maintains customization capability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops where user interactions with AI-flagged emails (accepting, rejecting, or modifying flags) are used to refine and improve future AI filtering decisions. This feedback mechanism allows the system to maintain high filtering efficiency while adapting to individual user preferences and customization needs over time.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If users define inbox views by setting multiple factors at once, then filtering precision is improved, but ease of operation deteriorates

Engineering Contradiction:

Improvefiltering precisionVSAvoiduser burden

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The AI system performs preliminary filtering and flagging actions before user review, pre-processing emails by analyzing content and assigning initial flags. This preliminary action reduces the user burden by presenting pre-filtered results rather than requiring users to configure multiple filtering factors from scratch, while maintaining precision through AI analysis.

Inventive Principle:

Principle #10Preliminary action

4Adaptability or versatility

If complex search syntax is required for filtering, then search functionality is improved, but ease of operation deteriorates

Engineering Contradiction:

Improvesearch functionalityVSAvoiduser ability requirement

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The AI system automatically generates and applies search criteria and filtering rules without requiring users to write or understand search syntax. The system serves itself by analyzing email content and automatically constructing appropriate search queries and filter conditions, eliminating the need for users to learn complex search syntax while maintaining versatile search functionality.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11997154B1Systems and methods for visualizing digital content

Publication Date: 2024.05.28 ZIVE INC

AI summary

Disclosed are systems and methods for visualizing digital content of a web-based application. The method comprises: (a) injecting a user interface component and a backend component into the web-based application; (b) rendering the web-based application with the user interface component, and the user interface component comprises a plurality of graphical elements and each of the plurality of graphical elements corresponds to a parameter of property of the digital content; (c) receiving an input from a user via at least one of the plurality of graphical elements to alter a state of the corresponding parameter in the backend component, and each of the plurality of graphical elements corresponds to multiple states of said corresponding parameter; and (d) updating a display of the digital content within the web-based application according to the state and the parameter.