Expressive QR Code for Peer-to-Peer Payment Clarity
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Solution Overview
Problem
Users often ignore or forget the purpose of QR codes used for peer-to-peer transactions due to their machine-readable nature, lacking human-readable identifiers, which can lead to missed or repeated payments.
Innovation Solution
A system that generates a graphical construct on a mobile device by capturing user intents through natural language processing, customizing a QR code with expressive elements such as emojis and human-readable images, and embedding payment information, allowing for more engaging and informative peer-to-peer transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a QR code is used for storing payment information, then the payment transaction can be performed quickly and efficiently, but the user cannot easily identify or remember the purpose of the payment due to the machine-readable nature of the QR code
Solution Approach 1:
The QR code is segmented into distinct functional regions: machine-readable portions (black modules containing payment data) and human-readable portions (colored regions containing emojis, images, or text indicating payment purpose). This segmentation allows both machine processing and human understanding to coexist without interfering with each other's functionality.
Solution Approach 2:
The patent merges machine-readable QR code functionality with human-readable visual elements into a single integrated graphical construct. The colored regions containing emojis, images, or text are combined with the traditional black-and-white QR code modules, creating a unified payment interface that serves both machine scanning and human comprehension simultaneously.
2Device complexity
If a traditional QR code is used for payments, then the system remains simple and easy to implement, but user engagement and interest decrease due to the boring and repetitive nature of standard QR codes
Solution Approach 1:
The patent introduces color variations in specific regions of the QR code to convey payment purpose information. Colored regions containing emojis, images, or text provide visual differentiation and user engagement while maintaining the black-and-white module structure necessary for machine readability. The color changes are strategically placed to avoid interfering with the QR code's functional regions.
Solution Approach 2:
The patent adds a visual dimension to the traditionally two-dimensional black-and-white QR code by incorporating colored regions with emojis, images, or text. This additional visual layer provides payment context without adding physical depth, enhancing user engagement while maintaining the planar structure required for scanning.
3Duration of action of stationary object
If a QR code is downloaded for later access, then the user can retain payment information, but the user may forget the reason for downloading or delete the QR code without reading it due to lack of human-readable identifiers
Solution Approach 1:
The human-readable visual elements (emojis, images, text) are embedded directly into the QR code during its creation, providing payment context information in advance. This preliminary inclusion of contextual information ensures that when users download or save the QR code, they can immediately understand its purpose without needing to recall or guess the payment intent.
Data Source
AI summary
Provided, in an aspect, is a method for performing a peer-to-peer transaction with a graphical construct on a first mobile device including a processor. The method includes receiving, by the processor, a user input for performing the peer-to-peer transaction; capturing, by the processor, one or more user intents of the received user input; determining, by the processor, an expressive element in accordance with the captured one or more user intents; generating, by the processor, the graphical construct from a customization of the expressive element; and performing, by the processor, the peer-to-peer transaction with a second mobile device in communication with the first mobile device by presenting the generated graphical construct. In some embodiments, capturing one or more user intents of the received user input is based on natural language processing (NLP).