Context-Matching Beacon Communication for Proactive Service Delivery
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Solution Overview
Problem
Conventional service information providing systems rely on user-initiated requests, limiting their ability to provide relevant information outside of explicit user needs, and systems providing unsolicited information lack flexibility and scalability.
Innovation Solution
A context matching information processing system that utilizes situation rules as a starting point to provide service information, using beacon communication between first and second information processors to match context data and deliver relevant information automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user origin method is used where users actively request information, then the service information is provided in response to explicit user needs, but the opportunity to provide service information to unanticipated needs or situations is limited
Solution Approach 1:
The system performs preliminary actions by pre-registering context information and service information before user requests occur. The information processor proactively monitors and stores contextual data (location, time, device type) and matches it with relevant service information in advance, enabling automatic information delivery when conditions are met without waiting for explicit user requests.
Solution Approach 2:
The system implements self-service by automatically matching and delivering service information based on registered contexts without requiring active user participation. The information processor autonomously monitors contextual changes, compares them against registered service information, and initiates communication to deliver relevant information proactively, freeing users from manual search operations.
2Device complexity
If conventional service information providing systems are used, then the system structure is simple, but the likelihood of providing relevant service information is low
Solution Approach 1:
The system segments information processing into distinct functional modules: context registration, service information registration, context matching, and information delivery. Each module handles a specific aspect of the information provision process independently, making the overall system more reliable through modular architecture while maintaining manageable complexity through clear functional separation.
Solution Approach 2:
The system incorporates feedback mechanisms where the information processor continuously monitors contextual information and compares it against registered service information. This feedback loop enables the system to adapt to changing conditions and reliably identify when service information should be delivered, improving the likelihood of relevant information provision through continuous contextual analysis.
3Ease of operation
If the user origin method is used, then users have control over their information requests, but the system lacks flexibility in providing information beyond explicit requests
Solution Approach 1:
The system introduces dynamics by transitioning from static user-initiated requests to dynamic proactive information delivery. The information processor continuously adapts to changing contextual conditions (location, time, device state) and dynamically determines when to deliver service information, enabling flexible information provision that responds to real-time situational changes rather than relying on predetermined user requests.
Data Source
AI summary
According to one embodiment, when a predetermined context is established in the communication area, the user of the reception or transmission side can receive or provide service information, in unconsciously. The system broadcasts a packet as a beacon signal, the packet consists of a header area containing communication standard data and a user area in which the device ID being used and context data can be written. When the beacon signal is received and detection data indicating that the data is a corresponding relationship with the context data set by its own device, service information is output.