Interface Layout for Optimizing Information Exchange Economics
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Solution Overview
Problem
Basic Emergent Users (BEUs) face challenges in optimizing the economics of information exchange due to limited education, understanding of financial markets, and geographical constraints, leading to suboptimal selection of Socio Economic Cohorts (SECs) and Contract Management System Companies (CMSCs), especially under time constraints and resource limitations, with existing interface technologies failing to personalize and dynamically adapt to their needs.
Innovation Solution
A method and system that utilizes a mobile device to display a digitally virtualized physical space, allowing BEUs to set profit goals and time ranges, populate SECs and CMSCs based on geographical proximity and solvency, calculate correlation scores, and facilitate automated contract registration on a shared common ledger, optimizing information exchange through personalized interface layouts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional interface technologies are used, then device complexity is reduced, but BEUs cannot efficiently explore and select optimal SECs and CMSCs due to lack of personalization and dynamic adaptation
Solution Approach 1:
The interface layout manager dynamically adapts the display layout based on BEU's explored SECs and CMSCs, changing the arrangement, positioning, and visibility of interface elements in real-time as the BEU interacts with the system, making the interface flexible and responsive to user behavior
Solution Approach 2:
The system continuously monitors BEU's exploration behavior, selection patterns, and interaction with SECs and CMSCs, using this feedback to automatically adjust and personalize the interface layout, creating a closed-loop system that improves efficiency through adaptive learning
2Loss of information
If BEUs manually explore multiple cities and markets for better pricing, then price discovery improves, but time consumption and travel costs increase significantly
Solution Approach 1:
The system creates a digital replica of multiple physical markets and SECs within the virtual interface, allowing BEUs to explore and compare pricing across different locations through the mobile device screen without physical travel, maintaining price discovery while eliminating travel time and costs
Solution Approach 2:
The system transitions the market exploration from physical spatial dimension to digital virtual dimension, enabling BEUs to access multiple geographic markets simultaneously through the interface rather than physically visiting each location sequentially
3Loss of information
If the interface displays all available SECs and CMSCs, then completeness of information is improved, but BEUs become overwhelmed and cannot make optimal selections due to information overload
Solution Approach 1:
The interface layout manager segments the complete set of SECs and CMSCs into distinct display zones and groups based on BEU's exploration progress and preferences, organizing information hierarchically to prevent overload while maintaining accessibility to all entities
Solution Approach 2:
Different regions of the interface display different levels of detail and types of information about SECs and CMSCs, with explored entities receiving prominent positioning and unexplored entities displayed in secondary zones, optimizing the information presentation for each local area of the interface
Data Source
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AI summary
Unaddressed technical problem is how to make the window manager select and update the appropriate visual design given the Just-In-Time constraint to optimize Profit/Economic Goal for a Basic Emergent User and not have a locking/permanent binding on a particular Socio Economic Cohort (SEC) or Contract Management System Companies (CMSCs). A method and system is disclosed that provides interface layout to discover and optimize economics of information exchange of digitally virtualized physical space for a Basic Emergent User (BEU). A correlation score is determined based on correlation between i) the expected profit range provided by the BEU indicating the tolerance around the SP(selling price) and ii) the buying price(BP) and the tolerance specified by the SEC or the CMSC to identify a best match for the BEU based on goal provided by the BEU in terms of expected profit range and corresponding time range within which it is to be achieved.