Beacon Notification System Using Spatial-Temporal Data
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Solution Overview
Problem
Existing beacon technologies rely on manual management and updating of information, which is inefficient and inconvenient, and fail to provide contextually relevant notifications to users based on their spatial-temporal data.
Innovation Solution
A computer-implemented method that detects beacon devices, obtains time-based contextual data from spatial-temporal user data, and determines relevant notifications for display, using a system that includes beacon devices, user devices, and servers to analyze calendar data and provide personalized information based on user interactions and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management and updating of beacon information is used, then device complexity is reduced, but productivity and information relevance deteriorate
Solution Approach 1:
The system automatically detects beacon devices, retrieves their information, and updates notifications without requiring manual intervention. The computing device autonomously manages the entire process from beacon detection to notification delivery, eliminating the need for manual information updates while maintaining system simplicity.
Solution Approach 2:
The system pre-fetches and stores beacon information and user spatial-temporal data in advance. By preparing this data beforehand, the system can quickly generate relevant notifications when users approach beacons, significantly improving information update efficiency without adding operational complexity.
2Adaptability or versatility
If generic beacon notifications are provided, then ease of operation is improved, but adaptability to user context deteriorates
Solution Approach 1:
The system customizes notifications based on individual user contexts by analyzing spatial-temporal data specific to each user. Instead of providing uniform generic notifications, the system adapts the content, timing, and delivery of notifications to match each user's location, time, and behavioral patterns, thereby achieving high contextual relevance.
Solution Approach 2:
The system dynamically adjusts notification parameters such as content, timing, and delivery method based on user spatial-temporal data. By changing these parameters according to contextual conditions, the system provides adaptable, context-relevant notifications without requiring complex manual configuration.
3Reliability
If real-time contextual analysis is performed, then notification relevance is improved, but loss of time in data processing increases
Solution Approach 1:
The system performs preliminary data collection and storage of beacon information and user spatial-temporal data in advance. This pre-prepared data can be quickly retrieved and matched when users approach beacons, enabling real-time contextual analysis without significant processing delays.
Solution Approach 2:
The system creates and maintains copies of beacon information and user data in accessible formats. By having pre-copied data ready for comparison, the system can rapidly perform contextual analysis and generate accurate notifications without time-consuming data retrieval or processing.
Data Source
AI summary
Systems and method of providing beacon-based notifications are provided. More particularly, an identifying signal can be received from a beacon device. A geographic location of a user device can be determined based at least in part on the identifying signal. At least a portion of time-based contextual beacon data can then be obtained based at least in part on spatial-temporal data associated with a user. One or more notifications associated with the contextual beacon data can then be determined. The one or more notifications can indicative of information corresponding to the beacon device, and can be provided for display on a user device.