Eye-Tracking Workflow Control for Task Condition Verification
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Solution Overview
Problem
Existing gaze-triggered event systems do not effectively integrate into workflows aimed at achieving overarching process goals, lacking the ability to assess task performance and ensure safety and quality.
Innovation Solution
A system and method that utilizes eye data to monitor task performance by capturing gaze direction and other eye movements to check if task conditions are met, determining the state of the user, and providing task-specific control parameters to ensure correct task execution and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gaze-triggered events are implemented to control workflow tasks, then task monitoring capability is improved, but system complexity increases due to integration requirements with workflow management
Solution Approach 1:
The patent introduces a workflow controller as an intermediary component that bridges the eye tracking system and the workflow management system. This controller receives gaze data, determines task conditions based on predefined criteria, and triggers workflow events without requiring direct complex integration between the eye tracker and workflow engine, thus resolving the contradiction between monitoring precision and system complexity
Solution Approach 2:
The system is segmented into independent functional modules: eye data capture module, workflow controller module, and task condition evaluation module. Each module operates independently with well-defined interfaces, allowing the gaze-triggered functionality to be added without complicating the overall system architecture, thereby maintaining low integration complexity while achieving precise task monitoring
2Measurement precision
If multiple eye data parameters are captured and analyzed to determine user state, then task performance assessment accuracy is improved, but data processing time increases
Solution Approach 1:
The system implements selective data processing by capturing multiple eye data parameters (gaze position, fixation duration, pupil diameter) but only processing the specific parameters relevant to each task condition. For example, only fixation duration and gaze position are processed for visual inspection tasks, while pupil diameter is ignored, thus maintaining high assessment accuracy while reducing unnecessary processing time
Solution Approach 2:
Task conditions and evaluation criteria are predefined and stored in the workflow controller before task execution. When eye data is captured, the system immediately compares it against pre-established thresholds and conditions, eliminating the need for complex real-time analysis and significantly reducing data processing time while maintaining accurate task performance assessment
3Reliability
If real-time eye data monitoring is implemented to ensure task conditions, then workflow safety is improved, but computational resources required increase
Solution Approach 1:
The system implements periodic sampling of eye data at predetermined time intervals rather than continuous monitoring. The workflow controller evaluates task conditions at these discrete intervals, which maintains workflow safety by detecting critical changes while significantly reducing computational resource consumption compared to continuous real-time analysis
Solution Approach 2:
The system applies different monitoring intensities to different task conditions based on their safety criticality. High-safety-critical conditions (e.g., operating heavy machinery) trigger frequent and comprehensive eye data analysis, while low-criticality tasks use reduced monitoring, thereby maintaining workflow safety where needed while optimizing computational resource usage across the overall system
Data Source
AI summary
The invention relates to a system and method to control a workflow comprising at least one task to be performed by a person (P3), wherein information is provided about at least one certain object (20, 32, 36, 38) related to the at least one task of the workflow, eye data (24, 26) are captured of at least one eye of the person (P3), and in dependency of the eye data (24, 26) and the information about the at least one certain object (20, 32, 36, 38) it is checked whether at least one task condition consisting in whether the task had been performed and/or whether the task is allowed to be performed is fulfilled. The invention also relates to a system and method for providing a set of task-specific control parameters (CP).