Event-Controlled View Selection for Multi-Bay Imaging Assistance
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Solution Overview
Problem
The multitasking environment for remote experts assisting multiple imaging bays is taxing, requiring efficient event prioritization and view selection to provide effective assistance to local operators.
Innovation Solution
A system with a feed aggregator and event prioritization mapping identifies the highest priority event and corresponding UI view, presenting information from the workspace of the local operator in need of assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the remote expert manually monitors multiple imaging bays simultaneously, then comprehensive oversight is achieved, but the expert's cognitive load and workload increase significantly
Solution Approach 1:
The system enables self-service by automatically detecting events, prioritizing them, and switching views without requiring manual expert intervention. The automated event detection and prioritization system serves itself by monitoring multiple bays and managing the expert's attention, thereby reducing cognitive load while maintaining comprehensive oversight.
Solution Approach 2:
The system implements feedback by continuously monitoring imaging bay events and dynamically adjusting the displayed view based on event priority. This closed-loop feedback mechanism ensures the expert receives relevant information automatically, maintaining oversight quality without increasing workload.
2Loss of information
If the system provides detailed views of all imaging bays simultaneously, then complete information availability is achieved, but information overload occurs making it difficult to identify critical events
Solution Approach 1:
The system applies local quality by providing detailed information only for the currently active imaging bay view, while other bays are shown in summary form. This selective detail provision ensures complete information availability for critical events while avoiding UI complexity and information overload by limiting detailed display to one bay at a time.
Solution Approach 2:
The system segments information display into hierarchical levels: summary views for multiple bays and detailed views for the active bay. This segmentation allows complete information to be available in the detailed view while the summary view provides overview, thereby managing UI complexity and preventing information overload.
3Reliability
If the remote expert switches between multiple imaging bays manually, then all bays receive attention, but response time to critical events increases
Solution Approach 1:
The system performs preliminary action by pre-prioritizing events and pre-selecting the most critical imaging bay for display before the expert needs to respond. This advance preparation ensures that when the expert looks at the screen, the most critical event is already prominently displayed, thereby improving response reliability and reducing response time.
Solution Approach 2:
The system implements dynamics by automatically switching between imaging bay views based on real-time event priority. This dynamic view switching ensures that the expert's attention is automatically directed to critical events as they occur, improving response reliability and reducing response time compared to static or manual switching.
4Adaptability or versatility
If the system displays all available views and information, then comprehensive monitoring capability is achieved, but the interface becomes complex and difficult to navigate
Solution Approach 1:
The system achieves universality by designing a single automated view switching mechanism that handles multiple imaging bays, event types, and priority levels. This multi-functional approach provides comprehensive monitoring capability through one unified interface rather than requiring separate controls for each bay or event type, thereby maintaining ease of operation.
Solution Approach 2:
The interface applies self-service by automatically managing view switching and information prioritization without requiring expert navigation or configuration. This automated interface management provides comprehensive monitoring capability while maintaining simplicity and ease of operation, as the system serves itself by adapting the display to event priorities.
Data Source
AI summary
A method (100) of controlling a user interface (UI) provided by a remote operator workstation of a remote expert (RE) providing assistance to local operators (LO) of respective medical imaging devices (2) during a medical imaging examination includes: analyzing signal feeds (17, 18, 9) received by a feed aggregator (15) to detect events occurring in workspaces of the local operators; identifying a highest priority event from amongst the detected events using an event prioritization mapping; identifying a highest priority local operator as the local operator in whose workspace the highest priority event occurred; selecting a highest priority UI view corresponding to the highest priority event using the event-to-UI view mapping; and presenting information derived from the signal feeds from the workspace of the highest priority local operator in accordance with the highest priority UI view.

