Hybrid Interface for Multi-User Privacy and Personalization
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Solution Overview
Problem
Conventional data visualization systems fail to provide personalized data to multiple users accessing a common account or interface, while maintaining privacy, as they present generic information that is not tailored to individual users and do not ensure data privacy.
Innovation Solution
The system generates a hybrid interface that includes blended interface data common to both users and personalized data for each user, dynamically modifying the display to obscure personalized data from other users, thereby reducing memory burdens and ensuring privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional interfaces present generic information for all users, then memory burden is reduced, but user data privacy is compromised and personalization is lost
Solution Approach 1:
The interface is segmented into multiple distinct views, each tailored to specific users. The system divides the single interface into user-specific portions, allowing personalized data to be presented only to authorized users while maintaining a shared view for common information.
Solution Approach 2:
The interface dynamically adapts its content and configuration based on which user is currently viewing it. The system modifies display characteristics in real-time to ensure that personalized data is only visible to the intended user, even when multiple users share a common device.
2Adaptability or versatility
If conventional interfaces provide static information for all users, then ease of operation is improved, but adaptability to individual users is reduced
Solution Approach 1:
The interface system serves multiple functions within a single unified structure. It simultaneously provides personalized views for different users while maintaining a common shared view, allowing the same interface to adapt to multiple user needs without requiring separate applications or devices.
Solution Approach 2:
The interface automatically detects which user is viewing and configures the display accordingly without requiring manual intervention. The system self-adjusts to present appropriate personalized data or generic information based on the current user context.
3Reliability
If multiple users view personalized data on a common device, then user-specific information is provided, but data privacy is compromised
Solution Approach 1:
Different portions of the interface have different visibility qualities for different users. Personalized data portions are configured to be visible only to their intended users, while common information portions are visible to all users. This creates localized visibility zones within the same interface space.
Data Source
AI summary
Methods, apparatuses, and computer program products are disclosed for dynamic user interfaces. An example computer-implemented method includes receiving a communication channel request from a first user and establishing a communication channel between a dynamic interface system and a device associated with the communication channel request. The computer-implemented method also includes determining that the first user and a second user are accessing the communication channel via the device and rendering a hybrid interface. The hybrid interface includes blended interface data based upon first user parameter data associated with the first user and second user parameter data associated with the second user, first personalized interface data based upon the first user parameter data, and second personalized interface data based upon the second user parameter data. The computer-implemented method may include obscuring the first personalized interface data and/or the second personalized interface data.