Vending Machine Identity Confidence Authorization
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Solution Overview
Problem
Current interactive systems face challenges in securely and efficiently managing user authentication and authorization for accessing private information, particularly in transactions involving sensitive user data, as they often require cumbersome username/password inputs and lack seamless integration with user preferences.
Innovation Solution
A progressive authorization determination system that uses user profile information to customize user experiences and streamline transactions by providing portions of user data 'as-needed' based on confidence levels, leveraging cookies, biometric information, and user consent to ensure secure access and reduce complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If username/password authentication is used to securely access private information, then security is improved, but user convenience deteriorates due to cumbersome authentication inputs
Solution Approach 1:
The patent segments user profile information into multiple portions with different authorization levels (e.g., first name, email, phone number, address). Each portion can be accessed independently based on the confidence level achieved through progressive authentication methods, allowing the system to provide necessary information without requiring full username/password authentication for every interaction.
Solution Approach 2:
The system performs preliminary actions by pre-collecting and storing various types of user identifying information (cookies, device identifiers, biometric data) before authentication is needed. This allows the system to evaluate confidence levels and provide appropriate information access without requiring users to input credentials at the moment of need.
2Reliability
If stringent authentication is applied to protect sensitive information, then information security is improved, but transaction efficiency deteriorates
Solution Approach 1:
The patent implements dynamic authorization thresholds that adjust based on the sensitivity of the requested information and the confidence level established through progressive authentication. Less sensitive information (e.g., first name) has lower authorization thresholds that can be met with weaker authentication, while sensitive information (e.g., address, phone number) has higher thresholds requiring stronger authentication, enabling efficient transactions for low-risk operations.
Solution Approach 2:
The system changes the parameter of authorization threshold based on the type of information requested and the accumulated confidence from progressive authentication steps. By dynamically adjusting these parameters, the system can efficiently serve transactions requiring minimal information while maintaining strict security for sensitive data access.
3Adaptability or versatility
If user profile information is provided to customize user experience, then user experience is improved, but security risk increases due to potential unauthorized access
Solution Approach 1:
The patent applies local quality by providing different levels of user profile information to different systems or contexts based on their authorization levels. Rather than providing all user information universally, the system selectively releases specific portions of profile data (e.g., providing first name to one service but withholding address from another) according to the confidence level and authorization threshold of each requesting system.
4Measurement precision
If multiple authentication methods are implemented to verify user identity, then confidence in user identity is improved, but system complexity increases
Solution Approach 1:
The patent segments the authentication process into multiple independent methods (cookies, device identifiers, biometric data) that can be evaluated separately. Each method contributes to the overall confidence level in a modular fashion, allowing the system to accumulate confidence incrementally without requiring all methods to be implemented simultaneously or complex integration logic.
Data Source
AI summary
Systems and techniques are disclosed for vending machine authorization and customization based on confidences of user identities. One of the methods includes receiving identifying information for a user device, the identifying information being received in response to the user device being within a distance of a vending machine. The vending machine can include sensors that trigger the user device to provide identifying information. A portion of profile information is accessed, portion of profile information indicating a unique identifier assigned to the user device. The portion of profile information is provided to one or more servers that communicate with the vending machine over one or more networks. Preference in formation is displayed via a display of the vending machine, the preference information being maintained by servers and being associated with the unique identifier.


