Situation-Aware Information Presentation via Multi-Level Proximity Graphs
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Solution Overview
Problem
Current information search applications perform only one-level analysis, failing to consider complex relationships between user and information items, leading to a lack of situational awareness in how information is presented.
Innovation Solution
A user interface that visualizes information based on multi-level proximity relationships, using a graph to assess relationships in spatial, temporal, and relevance dimensions, allowing users to interactively reposition the center of focus and filter information accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional search applications perform one-level analysis, then the search process is simple and fast, but the presentation of information lacks situational awareness and deeper relationship analysis
Solution Approach 1:
The patent transitions from one-level analysis to multi-level hierarchical analysis, adding temporal and relational dimensions to the traditional spatial search. Information is organized into multiple levels (Level 0: direct matches, Level 1: related items, Level 2: indirectly related items) with temporal weighting, allowing preservation of relationship information without overwhelming complexity through structured hierarchical presentation.
Solution Approach 2:
The patent segments information into distinct hierarchical levels (Level 0, Level 1, Level 2) based on relationship proximity and temporal relevance. Each level contains specific types of information with defined relationship strengths, allowing the system to manage complex relationships through organized segmentation while maintaining situational awareness.
2Loss of information
If information is presented with multi-level relationship analysis, then situational awareness is improved, but the interface complexity and difficulty of operation increase
Solution Approach 1:
The patent applies local quality by providing different levels of detail and interaction options at different hierarchical levels. Level 0 items receive prominent display with full interaction, Level 1 items are displayed with moderate detail, and Level 2 items are shown with minimal detail. This allows situational awareness to be maintained while keeping the interface usable through differentiated presentation quality.
Solution Approach 2:
The patent implements dynamic interaction where users can tap on items at any level to promote them to higher levels in the hierarchy. This dynamic reorganization allows users to control the depth of analysis displayed, making the interface adaptable to user needs while maintaining comprehensive situational awareness capability.
3Measurement precision
If the system analyzes multiple dimensions of proximity (spatial, temporal, relevance), then information relevance is improved, but the computational requirements and processing time increase
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing relationship graphs, spatial relationships, and temporal associations in structured formats. When a query is executed, the system retrieves pre-processed relationship data and applies temporal weighting factors, significantly reducing real-time computational requirements while maintaining precise multi-dimensional relevance assessment.
Data Source
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AI summary
Information may be presented to a user in a way that reflects an awareness of the user's current situation. The relationship between user's situation, and various people and things, may be analyzed to determine the user's proximity to those people and things. (Proximity may refer not only to geographic proximity, but also temporal proximity, relevance proximity, etc.) A user interface may show people and things at different levels of proximity to the user's current situation, with the level of proximity being represented visually. The user may reposition the center of focus to one of the people or things depicted. When the center is repositioned, the level of proximity of people and things may be shown relative to the new center of focus, filtered based on existing relationships of those people and things to the user.