Gaze-Based Workflow Adaptation in Extended Reality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In the extended reality (XR) domain, modifying workflows is a cumbersome process due to lengthy reviews and approvals, which is unrealistic given the dynamic nature of XR, leading to missed opportunities for improving workflow efficiency based on in-the-field observations and real-time user context.
Innovation Solution
The system adapts workflows by using gaze tracking to identify real-time user context, creating triggers for actions based on user gaze, allowing for dynamic synchronization and suggestion of task alternatives to improve workflow efficiency and completion speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If workflows are modified through traditional review and approval processes, then workflow changes are formally validated, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system enables workflows to adapt automatically through gaze-based triggers without requiring manual review and approval. The workflow system serves itself by detecting user gaze patterns and autonomously modifying task sequences, eliminating the need for external validation processes while maintaining reliability through predefined trigger conditions.
Solution Approach 2:
The patent transforms static workflows into dynamic, adaptive processes that respond to real-time user context. Workflows automatically adjust based on gaze-based triggers detecting user confusion or engagement, allowing continuous optimization without formal modification cycles.
2Productivity
If workflows are adapted dynamically based on real-time user context, then workflow efficiency improves, but the system complexity increases
Solution Approach 1:
The patent replaces complex manual workflow management with automated gaze-based detection systems. Optical tracking technology substitutes for manual observation and decision-making processes, using eye movement patterns as natural triggers for workflow adaptations without requiring complex intervention mechanisms.
Solution Approach 2:
The system monitors changes in gaze parameters (duration, frequency, direction) to trigger workflow adaptations. By establishing threshold-based rules for gaze patterns, the system translates complex behavioral data into simple trigger conditions that drive automated workflow modifications.
3Adaptability or versatility
If gaze tracking is implemented to detect user context, then real-time workflow adaptation is enabled, but the measurement and detection difficulty increases
Solution Approach 1:
The patent introduces gaze tracking technology as an intermediary between user behavior and workflow control. The eye tracking system serves as a mediator that translates natural eye movements into actionable trigger signals, bridging the gap between unconscious user behavior and conscious workflow adaptations without requiring direct user input.
Data Source
AI summary
A method for gaze-based workflow adaptation includes identifying a workflow in which a user is engaged, where the workflow comprises a plurality of tasks that collectively achieves a desired goal, creating a trigger for a given task of the plurality of tasks, wherein the trigger specifies an action to be automatically taken in response to a gaze of the user meeting a defined criterion, monitoring a progress of the workflow, monitoring the gaze of the user, and sending a signal to a remote device in response to the gaze of the user meeting the defined criterion, wherein the signal instructs the remote device to take the action.