Graphical Messaging Software Message Categorization and Filtering
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Solution Overview
Problem
Current messaging software lacks effective methods to filter and manage graphic-based messages, leading to user fatigue and reduced effectiveness in communication, particularly in noisy digital environments, and lacks control over message delivery and confirmation of receipt.
Innovation Solution
A graphical messaging software system that categorizes messages, allows users to set preferences, monitors user interactions, and automatically queries users about unwanted message categories, enabling targeted and efficient message delivery with confirmation of receipt.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If messaging software delivers all messages to all users, then message delivery completeness is improved, but user fatigue and information overload increase
Solution Approach 1:
The patent segments messages into different categories (e.g., important, normal, spam) and applies different delivery rules to each category. This allows the system to maintain complete delivery of important messages while filtering out less important ones, thus reducing user fatigue without compromising message delivery completeness for critical information.
Solution Approach 2:
The patent implements local quality by applying different delivery characteristics to different message categories. Important messages receive priority delivery with notifications, while less important messages are filtered or delivered without notification. This differential treatment reduces overall user fatigue while ensuring important messages are delivered reliably.
2Object-affected harmful factors
If messaging software filters messages to reduce user fatigue, then user experience is improved, but message delivery effectiveness decreases
Solution Approach 1:
The patent applies preliminary action by pre-categorizing messages before delivery and pre-configuring delivery rules for each category. This allows the system to automatically filter and prioritize messages based on their importance, ensuring that important messages are always delivered effectively while reducing user fatigue from less important messages.
Solution Approach 2:
The patent implements feedback mechanisms that monitor user interactions with delivered messages. This feedback is used to continuously refine filtering and categorization rules, improving message delivery effectiveness over time while maintaining reduced user fatigue. The system learns from user behavior to better distinguish important from non-important messages.
3Adaptability or versatility
If messaging software allows unlimited message categories, then user preference customization is improved, but system complexity increases
Solution Approach 1:
The patent segments message categories into a hierarchical structure with limited top-level categories and sub-categories. This segmentation allows users to customize preferences at multiple levels without creating unlimited complexity. The system provides adaptability through flexible sub-categorization while maintaining manageable system complexity through the structured hierarchy.
Solution Approach 2:
The patent implements universality by creating a standardized message category framework that serves multiple functions. The same category structure is used for filtering, prioritization, notification, and analytics purposes. This multi-functionality reduces system complexity by eliminating the need for separate mechanisms for each function while maintaining high user preference customization.
4Loss of information
If messaging software monitors all user interactions, then message effectiveness analysis is improved, but processing overhead increases
Solution Approach 1:
The patent extracts and monitors only the most relevant user interactions with messages, such as read status, reply actions, and forward actions. By focusing on extracting only the critical interaction data needed for effectiveness analysis, the system reduces processing overhead while still gathering sufficient information to measure message effectiveness accurately.
Solution Approach 2:
The patent applies partial action by monitoring a selected subset of user interactions rather than all possible interactions. This partial monitoring approach captures the essential information needed for effectiveness analysis while significantly reducing processing time and computational resources required compared to comprehensive monitoring of all user actions.
Data Source
AI summary
A graphical messaging software application, and numerous aspects and features thereof, are described in detail.