Filtering Display Data via User Action-Based Segmentation
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Solution Overview
Problem
Users face difficulty in finding relevant information from excessive reference data related to equipment instances, as existing systems do not efficiently filter or present data based on user actions.
Innovation Solution
A method that converts reference data into display data and filters it based on user actions, using data tags to selectively present relevant information, emphasizing equipment instances through highlighting or modulation on electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If reference data is presented in full detail, then information completeness is improved, but information retrieval efficiency deteriorates
Solution Approach 1:
The patent segments reference data into multiple hierarchical levels (summary level and detailed level). The system divides comprehensive reference data into organized sections that can be progressively accessed, allowing users to first view high-level summaries and then drill down into specific details only when needed, thereby reducing initial information retrieval time while maintaining access to complete information.
Solution Approach 2:
The patent applies local quality by providing different levels of information detail in different contexts or locations within the interface. Summary views provide condensed information for quick scanning, while detailed views provide comprehensive data for in-depth analysis. This allows the system to optimize information presentation based on the user's current needs and location in the data hierarchy.
2Quantity of substance
If all reference data is displayed, then data comprehensiveness is improved, but user interface complexity increases
Solution Approach 1:
The patent implements dynamic interface complexity by allowing the system to adapt the level of detail and organization of reference data based on user interactions, device capabilities, and context. The interface can dynamically switch between simplified summaries and comprehensive detailed views, adjusting the complexity level to match user needs without requiring all data to be simultaneously visible.
Solution Approach 2:
The patent adds a hierarchical dimension to the interface structure, organizing reference data across multiple levels of abstraction. Instead of presenting all data in a single flat view, the system creates a multi-dimensional navigation structure where users can move between summary and detailed levels, effectively managing interface complexity by distributing data across dimensional layers.
3Ease of operation
If reference data is organized by multiple categories, then information accessibility is improved, but navigation complexity increases
Solution Approach 1:
The patent segments reference data into logically grouped categories and subcategories, organizing information by topic, function, or relevance. This segmentation allows users to navigate to specific categories of interest rather than searching through all data, improving accessibility while managing navigation complexity through structured organization.
Solution Approach 2:
The patent applies preliminary action by pre-organizing reference data into anticipated user categories and pathways. The system prepares multiple organized views and navigation paths in advance based on predicted user needs, allowing users to quickly access information through pre-defined logical groupings without having to create their own navigation structure during interaction.
Data Source
AI summary
For filtering display data, a method receives reference data for an equipment instance. The method converts the reference data to display data. The method determines a user action. The method filters the display data based on the user action. The method presents the display data.