Adaptive Guest User Enrollment for Electronic Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electronic devices operating based on a user-specific model can be inefficient or incorrect when used by a guest user, as they are designed to interpret inputs and generate outputs based on the primary user's physical characteristics, leading to difficulties for guest users in interacting with the device without undergoing a full enrollment process.
Innovation Solution
The electronic device performs an initial, coarse enrollment of a guest user using reduced enrollment data, allowing immediate operation and subsequently refines the guest user-specific model during normal device operation, enabling guest users to access and interact with the device without the need for a full enrollment process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a full enrollment process is performed for guest users, then the device can operate accurately based on guest user-specific model, but the enrollment time and complexity increase significantly
Solution Approach 1:
The enrollment process is divided into two distinct phases: a simplified initial enrollment that captures essential user characteristics for immediate device operation, and a subsequent refined enrollment that occurs during normal device usage to progressively improve model accuracy. This segmentation allows the system to balance between quick guest user access and accurate user-specific operation.
Solution Approach 2:
The system performs preliminary coarse enrollment of guest users before full enrollment is complete. This preliminary action enables immediate device operation with basic user model accuracy, while the refined enrollment data continues to be collected and integrated in the background to progressively improve the user-specific model without requiring the user to stop using the device.
2Ease of operation
If reduced enrollment data is used for guest users, then immediate device operation is enabled, but the user model accuracy and operation efficiency decrease
Solution Approach 1:
The user model is made dynamic and adaptive, transitioning from an initial coarse model with limited accuracy to a progressively refined model as the guest user continues to interact with the device. The system continuously updates the user-specific model in the background during normal operation, allowing the model accuracy to improve over time without requiring the user to perform additional enrollment actions.
Solution Approach 2:
The system implements feedback mechanisms where the refined enrollment data collected during normal device usage is continuously fed back to update and improve the guest user's physical model. This feedback loop enables the system to progressively enhance user model accuracy while the guest user simply uses the device as normal, without needing to know or intervene in the refinement process.
3Ease of operation
If guest user information is persistently stored, then future access is simplified, but privacy concerns arise
Solution Approach 1:
The system applies different data retention policies to different types of user information. Guest user biometric and personal information is processed locally and not persistently stored, while only essential operational data necessary for device function is retained. This local quality approach allows the system to maintain privacy protection for sensitive guest information while still enabling functional continuity.
Solution Approach 2:
The system treats guest user enrollment data as temporary and disposable rather than permanent. The coarse enrollment data is used immediately for device operation, and the refined enrollment data is processed and integrated without long-term persistent storage of identifiable guest information. This approach enables future access convenience through temporary data retention while minimizing privacy risks associated with long-term storage.
Data Source
AI summary
Aspects of the subject technology provide electronic devices that operate, in part, based on enrolled user characteristics, and that can be operated by a guest user that has not been enrolled. For example, upon determining that a current user of an electronic device storing a first physical model of a primary user is a guest user different from the primary user, the electronic device may obtain initial physical characteristic data for the guest user and generate a guest physical model of the guest user based on the initial physical characteristic data. In one or more implementations, the electronic device may operate based on guest user inputs and the guest physical model of the guest user, while updating the guest physical model based on the guest user inputs.