Gaze Enrollment Interface Feedback for Faster Eye Tracking Setup
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Solution Overview
Problem
Existing gaze tracking enrollment methods in augmented reality environments are cumbersome, inefficient, and create a significant cognitive burden on users, often requiring multiple inputs and providing insufficient feedback, leading to energy wastage in battery-operated devices.
Innovation Solution
A computer system with improved gaze tracking enrollment methods that utilize a display generation component and input devices to detect user gaze, replace targets with enrollment progress user interface elements, and adjust their visual appearance based on gaze changes, reducing the number and nature of user inputs and enhancing interaction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional gaze tracking enrollment methods are used, then the system can perform gaze tracking enrollment, but the process is cumbersome and requires multiple user inputs
Solution Approach 1:
The system automatically detects gaze direction and performs enrollment actions without requiring explicit user inputs. The computer system monitors gaze tracking data and autonomously determines when enrollment criteria are met, allowing the enrollment process to serve itself without continuous user intervention.
Solution Approach 2:
The system provides visual feedback through displayed indicators that show enrollment progress and status. This feedback mechanism informs users about the enrollment state without requiring them to initiate multiple input actions, reducing operational complexity while maintaining system control.
2Productivity
If conventional gaze tracking enrollment methods are used, then the system can complete enrollment, but it takes longer than necessary
Solution Approach 1:
The system performs preliminary detection of gaze direction and continuously monitors enrollment criteria during the enrollment process. By preparing and pre-processing gaze data in advance, the system can quickly determine when enrollment conditions are met without requiring extended processing time after user actions.
Solution Approach 2:
The gaze tracking system operates continuously throughout the enrollment process, constantly monitoring gaze data without interruption. This continuous operation eliminates idle time and ensures that enrollment detection occurs as soon as criteria are satisfied, maximizing enrollment speed.
3Loss of information
If conventional gaze tracking enrollment methods are used, then the system can perform enrollment, but it provides insufficient feedback to users
Solution Approach 1:
The system displays visual indicators that provide real-time feedback about enrollment status and progress. These indicators communicate system state information to users without requiring additional user inputs, reducing information loss while maintaining operational simplicity.
4Productivity
If conventional gaze tracking enrollment methods are used, then the system can complete enrollment, but it wastes energy in battery-operated devices
Solution Approach 1:
The system autonomously manages the enrollment process without requiring multiple user input actions. By automatically detecting gaze patterns and determining enrollment completion, the system reduces the total operational time of energy-consuming components, thereby minimizing power consumption in battery-operated devices.
Data Source
AI summary
Gaze enrollment, including displaying an enrollment progress user indicator, animating movement of user interface elements, changing the appearances of user interface elements, and/or moving a user interface element over time, enable a computer system to more accurately track the gaze of a user of the computer system.