POS Terminal Interface Adaptation via User Data Tokenization
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Solution Overview
Problem
Existing point-of-sale terminals have inadequate dynamic user interface configurations due to outdated software and hardware, leading to costly and inefficient solutions.
Innovation Solution
A terminal comprising a processor and memory that receives user data, classifies it, generates a token based on the classification, and uses this token to create a personalized user interface with event handlers and display elements, allowing for automated processes upon user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional software and hardware are used for terminal user interfaces, then device compatibility is maintained, but interface adaptability and user experience deteriorate
Solution Approach 1:
The patent uses token generation to create simplified representations of user data and interface configurations. Instead of requiring complex software and hardware to handle diverse interface requirements, the system generates tokens that capture essential user characteristics and interface parameters, enabling adaptable interfaces through lightweight data structures rather than heavy computational resources.
Solution Approach 2:
The system dynamically adjusts interface parameters based on user data classification and token generation. By changing interface configuration parameters according to user characteristics and behavior patterns, the system achieves high adaptability without requiring fundamentally different software or hardware architectures for different users.
2Ease of operation
If dynamic user interface configuration is implemented, then user experience is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary classification of user data and generates tokens in advance of actual interface interaction. By pre-processing user data to create compact token representations, the system reduces the processing complexity required during actual user interactions, as the heavy lifting of data analysis is completed beforehand.
Solution Approach 2:
Tokens serve as intermediary data structures between raw user data and interface configuration. Instead of directly processing complex user data during interface operations, the system uses tokens as mediators that encapsulate essential information, thereby simplifying the processing requirements while maintaining personalized user experiences.
3Reliability
If personalized interface generation is used, then user satisfaction increases, but data processing time increases
Solution Approach 1:
The system extracts only the essential characteristics from user data that are necessary for interface personalization, rather than processing the entire user data set. By taking out and focusing on key parameters for token generation, the system achieves personalized interfaces without the time cost of comprehensive data processing.
Solution Approach 2:
The system applies partial processing to user data, generating tokens with just enough information for effective interface personalization. Rather than exhaustively analyzing all user data attributes, the system uses selective data processing that achieves satisfactory personalization with reduced time investment.
Data Source
AI summary
The present disclosure is generally related to apparatus and methods for a point-of-sale (POS) terminal configured to receive user data, classify the user data to a category, and generate a token as a function of the category. The POS terminal may be configured to associate the token with a plurality of service identifiers, generate a customer interface as a function of the token, and receive an activation of an event handler of the plurality of event handlers, and initiate as a function of the activation, an automated process.