Micro-environment Interaction Management via User Profile Segmentation
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Solution Overview
Problem
Existing localization technologies for wireless devices lack adaptability in managing interactions within virtual perimeters, particularly in determining collective commonalities among users and dynamically adjusting micro-environments for enhanced user experience and resource allocation.
Innovation Solution
A system and method that utilize a processor and memory to detect mobile devices, obtain user profiles, compare user information, and determine a threshold confidence level to manage interactions within micro-environments, including adjusting virtual boundaries, assigning devices, and directing users to preferred areas based on shared characteristics and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual perimeters are used for location-based services, then location determination capability is improved, but adaptability in managing user interactions within the environment deteriorates
Solution Approach 1:
The system segments the virtual perimeter into multiple micro-environments based on user profiles, preferences, and behaviors. Each micro-environment can be independently managed with specific interaction rules, allowing the system to maintain precise location determination while adapting to different user interaction needs within different zones of the same physical space.
Solution Approach 2:
The system dynamically adjusts virtual boundaries and micro-environment configurations in real-time based on detected user characteristics, device information, and interaction patterns. This allows the location-based services to maintain accuracy while the interaction management adapts dynamically to different user groups and scenarios within the same physical environment.
2Adaptability or versatility
If user profiles and comparisons are performed to determine commonalities, then interaction management capability is improved, but system complexity deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing user profile data, device information, and preference data in structured formats before interactions occur. This allows for efficient real-time comparisons and micro-environment assignments without creating excessive complexity during actual user interactions, as the heavy lifting of data organization is done in advance.
Solution Approach 2:
The system creates simplified copies or representations of user profiles and interaction patterns that can be quickly compared and matched. Instead of processing complete complex user data sets in real-time, the system uses condensed profile representations that capture essential characteristics for micro-environment assignment, reducing computational complexity while maintaining interaction management capability.
Data Source
AI summary
Methods, systems, and apparatuses may provide for the auto-determination of collective commonalities among users located within an environment. Once determined, a number of features may be further described for management of interactions within the environment.


