Sight Line Detection Accuracy Adaptation for Display Control
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Solution Overview
Problem
Current sight line detection technologies, such as the pupil-corneal reflection method, often require cumbersome calibration processes that can increase operator burden and fail to achieve desired detection accuracy, leading to suboptimal device operation.
Innovation Solution
An information processing apparatus that detects the sight line of an operator on a display screen, determines the detection accuracy, and differentiates the display form of display objects based on this accuracy, allowing for appropriate operation by adjusting the position, size, and shape of the objects on the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sight line calibration is performed to improve detection accuracy, then measurement precision is improved, but device complexity and operator burden increase
Solution Approach 1:
The system automatically determines detection accuracy and adjusts display forms without requiring operator intervention for calibration. The sight line detecting unit and detection accuracy determining unit work autonomously to adapt the interface to the user's detection capabilities, eliminating the need for manual calibration procedures while maintaining high measurement precision.
Solution Approach 2:
The display form is dynamically adjusted based on real-time detection accuracy. The system changes the display form of display objects according to the determined detection accuracy, creating a flexible interface that adapts to varying detection conditions without requiring static calibration settings.
2Measurement precision
If traditional calibration methods are used to achieve desired detection accuracy, then measurement precision is improved, but ease of operation deteriorates due to operator burden
Solution Approach 1:
The system performs self-adjustment by automatically determining detection accuracy and selecting appropriate display forms. This eliminates the need for operators to perform calibration tasks, reducing operator burden while maintaining measurement precision through automated adaptation to detection conditions.
Solution Approach 2:
The system changes display parameters (display form of objects) based on detection accuracy levels. By adjusting visual parameters of the interface according to detected sight line accuracy, the system maintains ease of operation across different detection quality levels without requiring manual calibration intervention.
3Productivity
If sight line detection is used for device operation, then productivity is improved, but reliability deteriorates when detection accuracy is insufficient
Solution Approach 1:
The system dynamically adjusts the display form based on real-time detection accuracy assessment. When detection accuracy is high, the system enables efficient sight line operation; when accuracy is low, the system adapts the display form to compensate, ensuring reliable operation across varying detection conditions without sacrificing productivity.
Solution Approach 2:
The system proactively determines detection accuracy before executing operations and prepares appropriate display forms in advance. By assessing detection quality beforehand and adjusting the interface accordingly, the system prevents reliability issues before they occur, ensuring that operations are always performed under optimal conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient sight line input by dynamically adapting the display layout to the detected sight line accuracy, reducing operator burden and ensuring reliable device operation.
Implementation Method 1
projects an infrared light or the like on an eyeball of a user, and detects the sight line from the pupil center and the corneal curvature center obtained from the position of the reflected image on the corneal surface
Data Source
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AI summary
There is provided an information processing apparatus including a sight line detecting unit configured to detect a sight line of an operator on a display screen, a detection accuracy determining unit configured to determine a detection accuracy of the sight line detected by the sight line detecting unit, and a display control unit configured to differentiate a display form of a display object displayed on the display screen, depending on the detection accuracy determined by the detection accuracy determining unit.