RFID Transponder Context-Aware Data Selection
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Solution Overview
Problem
Existing data provision methods in local communication technologies, such as RFID and visual codes, require significant manual user interaction, making them cumbersome and costly, especially as the number of data records grows, impacting user acceptance and usability.
Innovation Solution
An automated context information-based selective data provision method that minimizes user interaction by wirelessly acquiring context information to select and provide relevant data records to identification means, such as RFID transponders, without manual browsing through numerous entries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user interaction is used for data record selection, then data provision can be implemented, but user effort and complexity increase significantly
Solution Approach 1:
The system automatically selects and provides data records based on context information from the environment without requiring manual user interaction. The portable terminal autonomously acquires context information, analyzes it, selects the appropriate data record, and provides it through the identification means, making the system self-serving and eliminating manual user effort.
Solution Approach 2:
The system pre-provides multiple data records to the identification means before user need arises. By anticipating potential data requirements and having them ready in advance, the system eliminates the need for manual browsing and selection at the moment of use, significantly reducing user effort and interaction requirements.
2Adaptability or versatility
If the number of data records increases to meet diverse usage requirements, then system versatility improves, but manual handling complexity increases
Solution Approach 1:
The system continuously monitors and analyzes context information from the environment (such as location, time, and surrounding devices) to automatically determine which data record should be provided. This feedback mechanism allows the system to handle diverse data records without increasing manual complexity, as the selection is driven by environmental context rather than user input.
Solution Approach 2:
The automatic selection process based on context information eliminates the need for users to manually navigate through increasing numbers of data records. The system serves itself by autonomously selecting the appropriate data record from the expanded set based on environmental context, maintaining simplicity even as versatility increases.
3Extent of automation
If automated context information acquisition is implemented, then user interaction is minimized, but system complexity increases
Solution Approach 1:
The identification means is designed to perform multiple functions: it can provide identification information, acquire context information from the environment, analyze that information, and select appropriate data records. By making the system multi-functional, the added complexity of automation is consolidated into a single device rather than requiring separate components, thereby minimizing the overall impact on system complexity.
Solution Approach 2:
The patent combines the data provision function with context information acquisition and analysis capabilities within the same portable terminal and identification means. By merging these functions into a unified system, the complexity of automation is integrated rather than additive, allowing automated data selection without proportionally increasing overall system complexity.
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
This approach significantly enhances user experience by automating data selection and management, encouraging frequent use of portable terminals and reducing the need for manual data input, thereby improving user acceptance and operational efficiency.
Implementation Method 1
electromagnetic and/or electrostatic coupling is implemented in the radio frequency (RF) portion of the electromagnetic spectrum, using for example radio frequency identification (RFID) technology
Implementation Method 2
visual codes are employed for local communications between a visual encoding means, which is adapted to display bar codes, two-dimensional visual codes and the like, and a counterpart visual scanning means, which is adapted to detect and scan displayed visual codes
Data Source
AI summary
The present invention relates to a method, a device and a system supporting an automated selection of data records for being provided by an identification means. The data records comprising payment and electronic ticket related information. Obtained context information allow for selecting automatically one suitable data record out of said plurality of data records to be provided by the identification means, which operated for example as a radio frequency identification (RFID) transponder to an external identification means, which operated for example as a radio frequency reader (RFID) implemented for instance in a point of sales, a cash box and/or a ticket checkpoint.