Dynamic Talkgroup Approver Determination Using Contextual History
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Solution Overview
Problem
In critical public safety situations, determining the approver for adding users to dynamically created talkgroups can be time-consuming due to difficulties in identifying the appropriate authority, leading to delays in incorporating necessary individuals into communication groups.
Innovation Solution
A method that determines a user's context by accessing a database of past contexts and approvers, using sensors and CAD IDs to identify similar past situations and authorize access to talkgroups, thereby streamlining the approval process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an approver is required to approve any individual being added to a talkgroup, then security and control are improved, but time consumption and operational complexity increase
Solution Approach 1:
The system pre-establishes approver hierarchies and contextual rules before incidents occur. When a user needs to join a talkgroup, the system automatically identifies the appropriate approver based on pre-configured organizational structures and incident contexts, eliminating the need for manual identification and reducing approval time while maintaining security
Solution Approach 2:
The system enables automatic determination of the appropriate approver using contextual information about the incident and organizational hierarchy. This self-service approach allows the system to autonomously identify and route approval requests to the correct individual without requiring manual intervention to determine who should approve, thus reducing time loss while maintaining proper access control
2Measurement precision
If manual determination of approver is used, then authorization accuracy is improved, but operational efficiency deteriorates
Solution Approach 1:
The system uses contextual feedback from the incident scenario, organizational hierarchy, and user roles to automatically determine the appropriate approver. This feedback mechanism ensures accurate identification of the correct authority while accelerating the process by eliminating manual search and consultation, thus improving both precision and productivity
Solution Approach 2:
The system changes the parameters of approver identification from manual human judgment to automated contextual analysis. By using incident type, organizational structure, and user role as parameters, the system rapidly and accurately determines the appropriate approver, simultaneously improving identification accuracy and operational speed
3Measurement precision
If contextual analysis of past situations is implemented, then approver determination accuracy is improved, but system complexity increases
Solution Approach 1:
The system pre-configures contextual parameters, organizational hierarchies, and approver relationships before incidents occur. This preliminary setup allows the system to rapidly match current incidents with appropriate approvers using pre-established rules, improving accuracy without requiring complex real-time analysis infrastructure
Data Source
AI summary
A method and apparatus for determining an individual's identity who has authority to add a user to a talkgroup (approver) is provided herein. During operation, a context of a user requesting access to a talkgroup is determined. Past contexts for individuals who have requested access to past talkgroups are determined along with past approvers who approved adding the individual to the talkgroup. The current context is used to find similar past contexts and the past approver for the similar past context. The past approver is then used to authorize the current request for approving joining of the talkgroup.