Beacon Proximity Sorting for User Grouping
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Solution Overview
Problem
Conventional beacon-based technologies primarily focus on targeted information delivery and fail to leverage interaction data for subsequent applications, limiting their use in grouping users for interactive experiences or activities beyond proximity-based interactions.
Innovation Solution
A computer-implemented method and system that utilize beacons or alternative technologies like RFID and NFC to sort users into groups based on proximity, allowing for subsequent categorization and interaction in activities such as games or experiences, and enabling data exchange between user devices and beacons for personalized content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If beacon-based technologies are used for targeted information delivery, then information delivery capability is improved, but user grouping and categorization capability deteriorates
Solution Approach 1:
The system makes beacons perform multiple functions: not only targeted information delivery but also user identification, proximity detection, and automatic grouping. By receiving beacon signals, user devices are automatically categorized into groups based on their proximity to different beacons, enabling both information delivery and user sorting capabilities from a single technology platform.
2Ease of operation
If proximity-based interaction is implemented, then user engagement is improved, but subsequent categorization and interactive experiences deteriorate
Solution Approach 1:
The system performs preliminary grouping and categorization of users based on their proximity to beacons before subsequent interactive experiences begin. User devices automatically receive beacon signals and are assigned to specific groups in advance, enabling the system to deliver customized content and facilitate targeted interactions in later stages without requiring additional manual categorization steps.
3Adaptability or versatility
If data exchange between user devices and beacons is enabled, then personalized content delivery is improved, but system complexity deteriorates
Solution Approach 1:
User devices automatically perform data exchange with beacons without requiring complex system coordination. When a user device receives a beacon signal, it autonomously determines its group assignment and requests appropriate content from the server based on its location and category, reducing the need for complex centralized control mechanisms while enabling personalized content delivery.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective grouping and categorization of users for interactive experiences, allowing for personalized content delivery and subsequent engagement beyond the initial proximity-based interaction, enhancing user engagement and interaction in various entertainment and retail contexts.
Implementation Method 1
A transmitter may transmit signals
Implementation Method 2
receiving a radio frequency (RF) signal from an RF transmitter at a first user device upon the first user device coming in proximity to the RF transmitter
Data Source
AI summary
Systems and methods are provided for proximity-based sorting. Information may be transmitted to user devices from beacons or similar transmitter-type devices. Based on this information, the user devices may be categorized or sorted based upon which beacons the user devices are proximate to, pass, or from which beacon the information is received. Subsequent activities and/or operations may then leverage this categorization or sorting of users.