Proximity-Based Service Adaptation for Mobile Content Providers
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Solution Overview
Problem
Location-based services are not dynamic and typically provide the same set of information to all users at a fixed location, failing to adapt to the needs of mobile service providers and users who may benefit from different information or services based on their relationship or prolonged proximity.
Innovation Solution
A method that uses a mobility services engine to detect user devices in proximity to mobile content providers, determining dwell time and relationships to provide tailored content or services when the user device remains within a predefined threshold proximity, utilizing a network with a server node, data store, and communication interface to offer relevant information or applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If location-based services provide information to all users at a fixed location, then users receive basic location information, but the service lacks adaptability to different user needs and relationships
Solution Approach 1:
The system transitions from static location-based services to dynamic services that adapt in real-time based on user proximity duration and relationship type. The mobility services engine continuously monitors user device locations and dynamically determines service delivery based on dwell time thresholds and relationship categories (personal, professional, public), enabling the service to evolve from fixed to adaptive.
Solution Approach 2:
The system applies different service qualities to different user groups based on their relationship with the content provider. Personal relationships receive customized content, professional relationships receive work-related information, and public relationships receive general announcements. This local differentiation of service quality resolves the contradiction between adaptability and complexity.
2Loss of information
If the system monitors user proximity duration to determine service delivery, then personalized services are provided, but the processing time and computational resources increase
Solution Approach 1:
The system pre-establishes relationship categories (personal, professional, public) and dwell time thresholds before service delivery. These parameters are configured in advance, allowing the mobility services engine to quickly compare real-time proximity data against pre-set criteria without performing complex calculations during service delivery, thus reducing response time while maintaining information accuracy.
3Adaptability or versatility
If location-based services only provide information at fixed locations, then the service implementation is simple, but the service cannot accommodate mobile content providers
Solution Approach 1:
The mobility services engine is designed as a universal system that handles both traditional fixed-location services and mobile content provider services through the same architecture. It universally applies proximity detection, dwell time measurement, and relationship-based filtering regardless of whether the content provider is stationary or mobile, enabling multi-functionality without proportionally increasing complexity.
Data Source
AI summary
In one embodiment, a method includes identifying when a user device is in proximity to a moveable device, and determining a first amount of time the user device has been in proximity to the moveable device. The method also includes determining whether the first amount of time exceeds a threshold amount of time. When it is determined that the first amount of time exceeds the threshold amount of time, content associated with the moveable device is accessed. Finally, at least an indication of content is provided to the user device when it is determined that the first amount of time exceeds the threshold amount of time.