Digital Verification Recording for Remote Consent and Bot Resistance
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Solution Overview
Problem
Existing digital verification methods struggle to capture sufficient information about user interactions and are susceptible to bots, making it difficult to confirm that users have read or agreed to terms, especially in remote transactions.
Innovation Solution
A digital verification application that records video and audio interactions with avatars or recorded media, using facial detection and device status checks to ensure accurate recordings, and uploads them continuously or in real-time, with customizable recording controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote digital transactions are conducted to improve convenience and accessibility, then ease of operation is improved, but verification reliability deteriorates because it becomes difficult to confirm user understanding and agreement
Solution Approach 1:
The system creates a visual copy/recording of the user interaction process, capturing screenshots and video footage of the user viewing terms and providing consent. This visual record serves as evidence that the user actually saw and understood the terms before agreeing, resolving the verification reliability issue while maintaining remote operation convenience.
Solution Approach 2:
The system introduces an intermediary verification mechanism that acts as a mediator between the user and the transaction system. This intermediary captures and records the interaction process, providing independent verification that the user understood and agreed to terms, thereby enhancing reliability without compromising the ease of remote operation.
2Device complexity
If existing verification methods are used to maintain simplicity, then device complexity is reduced, but security against bots and impersonation deteriorates
Solution Approach 1:
The system performs preliminary actions by capturing device identifiers, screenshots, and video footage before the actual transaction occurs. This pre-capture of verification data creates a baseline record that can be used to detect and prevent bot impersonation, enhancing security while maintaining system simplicity through automated pre-verification steps.
Solution Approach 2:
The system creates multiple copies of verification data including device identifiers, screenshots of the interface, and video recordings of the user interaction. These copies serve as layered verification evidence that is difficult for bots to replicate, improving security against impersonation while keeping the implementation relatively simple through standard capture techniques.
3Measurement precision
If comprehensive recording of user interactions is implemented to improve verification accuracy, then measurement precision is improved, but loss of information increases due to larger data storage requirements
Solution Approach 1:
The system extracts only the most critical verification elements from the complete interaction recording, such as key screenshots showing term acceptance, device identifiers, and essential video segments. This selective extraction maintains verification accuracy by capturing decisive evidence while reducing overall data storage requirements by excluding redundant information.
Solution Approach 2:
The system implements partial recording by focusing on capturing only the essential verification moments rather than continuously recording the entire interaction. This approach captures sufficient evidence for accurate verification (partial action) without the burden of storing complete continuous video and data streams, thereby reducing information loss while maintaining measurement precision.
Data Source
AI summary
Computer-implemented methods and systems for conducting and generating a record of a digital interaction conducted via an end user using a software application installed on a user device. One method includes, in response the digital interaction starting, continuously recording the digital interaction on the user device, wherein recording the digital interaction includes storing: one or more user interfaces displayed on the user device during the digital interaction, image data captured via a camera of the user device during the digital interaction, and audio data included in the digital interaction. The method also includes, in response to the digital interaction ending, uploading the recording of the digital interaction from the user device to at least one server over at least one computer network.