Trigger-Based Information Filtering User Interface
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Solution Overview
Problem
Users in information-intensive environments, such as the financial industry, face challenges in efficiently filtering through large amounts of irrelevant or timely information to identify significant events or important data, leading to wasted time and potential missed information.
Innovation Solution
A user interface system that sets trigger events based on information flows, allowing for actions such as filtering and displaying only relevant information, enabling users to focus on critical data by integrating multimedia sources and allowing for real-time processing and aggregation of information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually monitor multiple information sources, then they can identify relevant information, but they consume significant time and effort and may miss important information
Solution Approach 1:
The system performs preliminary actions by automatically setting up trigger events and monitoring rules in advance. Users pre-configure criteria for what constitutes important information, and the system continuously monitors information sources against these criteria without requiring user intervention, thus eliminating the need for manual monitoring while maintaining high identification accuracy.
Solution Approach 2:
The system serves itself by automatically filtering, analyzing, and presenting relevant information based on pre-configured triggers. The information processing system autonomously identifies important events, filters out irrelevant data, and delivers results to users without requiring their continuous attention or manual sifting through information sources.
2Loss of information
If users filter through large amounts of information manually, then they can find relevant data, but the process is inefficient and time-consuming
Solution Approach 1:
The system replaces the mechanical manual filtering process with an automated information processing system. Instead of users manually examining each piece of information, the system uses computer-based algorithms and trigger-based filtering to automatically identify and present relevant information, dramatically improving processing efficiency while maintaining information relevance.
Solution Approach 2:
The system introduces an intermediary information processing layer between information sources and users. This intermediary automatically filters, aggregates, and presents relevant information based on pre-configured criteria, eliminating the need for users to directly interact with raw information streams and significantly improving processing efficiency.
3Quantity of substance
If users monitor multiple information sources simultaneously, then they can capture comprehensive data, but they become overwhelmed by irrelevant information
Solution Approach 1:
The system extracts only the relevant information from multiple sources by using trigger-based filtering. Instead of presenting users with all available data from multiple information sources, the system automatically extracts and presents only those items that meet pre-configured criteria, eliminating overwhelming volumes of irrelevant information while maintaining comprehensive coverage of important data.
Solution Approach 2:
The system segments information management into two distinct parts: automatic filtering of large volumes of data from multiple sources, and selective presentation of relevant information to users. This segmentation allows the system to handle comprehensive data volumes while keeping the user interface clean and manageable by displaying only filtered, relevant results.
Data Source
AI summary
A trigger event is set, based on information in an information flow. One or more actions are set to occur in response to occurrence of the trigger event. The information flow is received. The set one or more actions are performed upon occurrence of the trigger event, and a user interface is displayed based on the information flow. The actions include, but are not limited to, filtering display of information from the information flow in response to occurrence of the trigger event.