Voice Gesture Transaction System for Multimedia Ad Conversion
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Solution Overview
Problem
Consumers face difficulties in conveniently initiating financial transactions for products advertised through multimedia channels, often leading to forgotten purchases or incorrect choices due to lack of immediate actionability.
Innovation Solution
A method and system utilizing voice or human gesture-based actions to initiate financial transactions by transmitting video data, monitoring for event data, analyzing voice or gesture inputs, and encoding transaction details into machine-readable pay codes for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If consumers use traditional methods to initiate financial transactions for advertised products, then they can complete purchases, but they may forget the product or merchant by the time they are able to purchase, leading to lost sales opportunities
Solution Approach 1:
The system performs preliminary action by automatically detecting products or services in multimedia content and pre-generating machine-readable pay codes that contain transaction details. This allows consumers to initiate transactions immediately by simply presenting their device, eliminating the delay between viewing an advertisement and being able to purchase.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between multimedia content and financial transaction systems. This intermediary automatically extracts product information, generates pay codes, and facilitates transactions without requiring consumers to manually search for or remember product details, thus resolving the contradiction between speed and convenience.
2Reliability
If consumers manually search for product details after viewing an advertisement, then they can verify product information, but they may choose incorrect products or miss promotions by the time they complete their search
Solution Approach 1:
The system performs preliminary action by automatically extracting accurate product details, pricing, and promotion information from multimedia content and encoding them into machine-readable pay codes before the consumer even views the advertisement. This eliminates the need for manual verification while ensuring accuracy, as the information is pre-validated by the system.
Solution Approach 2:
The system provides feedback by displaying product details, pricing, and promotion information to the consumer before the transaction is finalized. This allows consumers to verify the accuracy of the information and confirm their purchase intent, ensuring reliable product selection while maintaining speed through automated information retrieval.
3Productivity
If the system implements voice or gesture-based transaction initiation, then transaction speed increases, but the complexity of the system increases due to additional processing requirements
Solution Approach 1:
The patent replaces traditional mechanical input methods (keyboards, mice, touchscreens) with voice and gesture-based interfaces. This substitution allows for faster, more natural interaction that increases transaction initiation speed. The system processes these inputs through automated recognition and interpretation algorithms that translate natural human actions into transaction commands without requiring complex manual navigation.
4Measurement precision
If the system automatically generates and processes machine-readable pay codes, then transaction accuracy improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-generating machine-readable pay codes with complete transaction details (product information, pricing, promotion data) before the consumer initiates the transaction. This preliminary encoding ensures high accuracy as all information is pre-validated and structured, while the actual transaction processing remains fast since the heavy computational work has already been completed in advance.
Data Source
AI summary
A method of initiating a consumer transaction using a human interaction device to read voice or human based gesture actions is disclosed. Video data is transmitted from a processing device to a display device. The video is monitoring for event data corresponding to a plurality of consumer products or services, and monitored event data is received in the processing device. A consumer is notified on the display device of an eligible consumer transaction. Voice or human based gesture actions are read with a human interaction device and are analyzed. If the voice or human based gesture actions conform to a predetermined set of requirements, then a consumer transaction for the plurality of consumer products or services is initiated.