Gaze-Based Assessment Scoring for More Accurate ASD Evaluation
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Solution Overview
Problem
Existing methods for assessing autism spectrum disorder (ASD) lack accuracy in identifying specific characteristics of individuals with ASD.
Innovation Solution
An assessment device and method that utilizes a display unit to show multiple unit images with specificity and sensitivity objects, detecting gaze points, and calculating object and entire gaze rates to determine assessment scores based on these rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional gaze point detection methods are used to assess ASD, then the assessment process is simple, but the accuracy in identifying specific characteristics of ASD is insufficient
Solution Approach 1:
The patent segments the assessment into multiple tasks (first task with geometric pattern, second task with person image) and divides gaze analysis into specific regions (geometric pattern region, person image region, other regions). This segmentation allows precise measurement of gaze characteristics in different contexts while maintaining a structured, manageable assessment framework.
Solution Approach 2:
The patent introduces temporal dimension by analyzing gaze points across different time periods (during first task, during second task) and spatial dimension by dividing the display into multiple determination regions. This multi-dimensional approach enhances assessment accuracy by capturing dynamic gaze behavior patterns rather than static single-point measurements.
2Measurement precision
If multiple determination regions are used to track gaze points across different tasks, then the accuracy of gaze behavior quantification improves, but the complexity of region setting and data processing increases
Solution Approach 1:
The patent divides the display area into multiple determination regions (geometric pattern region, person image region, other regions) for each task. This segmentation enables precise tracking of gaze behavior in different contextual areas while organizing data processing into manageable regional units, reducing overall analytical complexity.
Solution Approach 2:
The patent focuses measurement on specific determination regions relevant to each task rather than analyzing the entire display area uniformly. This partial action approach concentrates processing resources on critical areas, improving measurement precision while reducing unnecessary computational complexity in irrelevant regions.
Data Source
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AI summary
An assessment device includes a display unit; a gaze-point detecting unit configured to detect a position of a gaze point of a subject; a display control unit configured to display multiple unit images including at least one of an object having specificity and an object having sensitivity on the display unit in different tasks; a region setting unit configured to set an object determination region corresponding to each of the objects and an entire determination region corresponding to an entirety of the display unit for each of the tasks; a determining unit configured to determine whether the gaze point is present in each of the object determination region and the entire determination region based on the detected position of the gaze point; an arithmetic unit configured to calculate an object gaze rate indicating a rate at which the gaze point is present in the object determination region in each of the tasks, and an entire gaze rate indicating a rate at which the gaze point is present in the entire determination region throughout all the tasks based on a determination result; and an assessing unit configured to calculate a score based on the object gaze rate and the entire gaze rate calculated by the arithmetic unit, and acquire assessment data based on the score.