Digital Assistant Priority Factor for Restricted Data Access
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Solution Overview
Problem
In public-safety environments, digital assistants face challenges in handling queries that include data portions restricted to the requestor's authorization level, necessitating a method to determine users with permission and prioritize access to sensitive information.
Innovation Solution
A digital assistant system calculates a priority factor based on contextual relations between the requestor and users to select a contact person for restricted data portions, allowing notification and access management without altering security levels or requiring extensive training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the digital assistant provides all query results to the requestor, then the requestor gains complete information access, but security authorization restrictions are violated
Solution Approach 1:
The patent introduces an intermediary mechanism that identifies and notifies authorized users who have permission to access restricted data portions. This mediator resolves the contradiction by bridging the requestor's information needs with security requirements, allowing the requestor to obtain restricted information through the authorized user rather than direct access.
Solution Approach 2:
The patent segments the query results into accessible portions and restricted portions based on authorization levels. By dividing the information into segments with different access rights, the system maintains security compliance while still providing the requestor with all available information through appropriate channels.
2Reliability
If the digital assistant notifies multiple users about restricted data access, then complete authorization coverage is achieved, but notification overhead and system complexity increase
Solution Approach 1:
The patent calculates a priority factor based on contextual relations between the requestor and potential authorized users. By changing the parameter from binary notification (notify/not notify) to prioritized notification (notify based on priority factor), the system achieves comprehensive authorization coverage while reducing notification overhead by focusing on the most relevant users.
Solution Approach 2:
The system performs preliminary calculation of priority factors before generating notifications. This preliminary action identifies the most suitable authorized users in advance, allowing the notification system to target only necessary users rather than broadcasting to all potential users, thereby reducing complexity.
3Measurement precision
If the digital assistant implements deep-learning or machine-learning models for access management, then access decision accuracy improves, but system resource consumption and processing time increase
Solution Approach 1:
The patent replaces expensive, resource-intensive deep-learning models with a simpler, computationally efficient priority factor calculation approach. This lighter-weight solution achieves sufficient access decision accuracy without the high resource consumption and processing time requirements of machine-learning models.
Data Source
AI summary
An electronic digital assistant of an electronic computing device receives a query from a requestor. The assistant determines whether the results of the query include a data portion restricted for the requestor. The assistant determines users having permission to process the data portion restricted for the requestor. The assistant calculates, a priority factor associated with each of users having permission to process the data portion restricted for the requestor. The priority factor is based on at least one criterion defined by a contextual relation between the requestor and respective user. Based on the priority factor a contact person for the data portion restricted for the requestor is selected.