Interactive Risk Landscape Map for Complex Data Visualization
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Solution Overview
Problem
Existing risk management systems overwhelm users with complex and large amounts of risk-related information, making it difficult for human users to understand the interconnections and importance of risks, which hinders effective decision-making.
Innovation Solution
A user interface is provided that displays risk information as a master risk landscape map with nodes representing risks and links showing correlations, allowing users to visualize likelihood, severity, detectability, and interconnectivity, enabling interaction for deeper detail exploration and focusing on relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional spreadsheet formats with multiple tables and columns are used to document risk information, then comprehensive risk documentation is achieved, but user understanding and clarity of risk interconnections deteriorate
Solution Approach 1:
The patent transforms traditional two-dimensional spreadsheet risk documentation into a three-dimensional network visualization where risks are represented as nodes and correlations as edges in spatial space. This dimensional transformation allows users to perceive risk interconnections intuitively through spatial relationships rather than navigating complex tabular data, directly resolving the contradiction between comprehensive documentation and user understanding.
Solution Approach 2:
The patent creates a visual copy or metaphorical representation of risk data in the form of a network map, where abstract correlation data is copied into visual forms (nodes, edges, layouts) that are naturally interpretable by humans. This visual copying preserves the complete risk information while making it comprehensible, solving the contradiction between information completeness and user understanding.
2Loss of information
If comprehensive risk information is presented to users, then complete risk documentation is achieved, but information overload and user overwhelm increase
Solution Approach 1:
The patent applies local quality by allowing different regions or areas of the risk network map to have different visual properties and levels of detail. Users can focus on specific local areas of interest while the system maintains the global context, enabling comprehensive information presentation without overwhelming users with uniform detailed information everywhere simultaneously.
Solution Approach 2:
The patent segments the comprehensive risk information into discrete visual units (nodes representing individual risks, edges representing correlations) that can be independently perceived and explored. This segmentation allows users to process information in manageable chunks while the system maintains the complete picture, resolving the contradiction between information completeness and preventing overload.
3Quantity of substance
If detailed risk information is displayed, then comprehensive risk documentation is achieved, but clarity and focus on key risks deteriorate
Solution Approach 1:
The patent implements dynamic visualization where the risk network map can be interactively explored at different levels of detail. Users can dynamically adjust the view to see either high-level summaries or detailed information about specific risks, allowing the system to maintain both comprehensive detail and clear focus on key risks depending on user needs and context.
Data Source
AI summary
Examples of a user interface are described that may include a master risk landscape map that includes nodes representing risks and links representing correlations between the risks. The visual appearance of the nodes and links may provide information about their characteristics, such as risk likelihood, risks severity, risk detectability, and/or strength of interconnectivity. The user may be able to interact with the master risk landscape map to drill down to further detail while simultaneously removing less relevant information as desired, thereby potentially allowing the user to focus on the most relevant information.