Comparison of stereopsis thresholds measured with conventional methods and a new eye tracking method

Abstract

Purpose Stereopsis is the ability to perceive depth using the slightly different views from two eyes. This study aims to conduct innovative stereopsis tests using the objective data outputted by eye tracking technology. Methods A laptop and an eye tracker were used to establish the test system. Anaglyphic glasses were employed to execute the stereopsis assessment. The test symbol employed was devised to emulate the quantitative measurement component of the Random Dot 3 Stereo Acuity Test. Sub-pixel technology was used to increase the disparity accuracy of test pages. The tested disparities were: 160″, 100″, 63″, 50″, 40″, 32″, 25″, 20″, 16″, and 12.5″. The test was conducted at a distance of 0.65m. Conventional and eye tracking stereopsis assessments were conducted on 120 subjects. Wilcoxon signed-rank test was used to test the difference, while the Bland-Altman method was used to test the consistency between the two methods. Results The Wilcoxon signed-rank test showed no significant difference between conventional and eye tracking thresholds of stereopsis (Z = −1.497, P = 0.134). There was a high level of agreement between the two methods using Bland- Altman statistical analysis (The 95 per cent limits of agreement were −0.40 to 0.47 log arcsec). Conclusions Stereoacuity can be evaluated utilizing an innovative stereopsis measurement system grounded in eye tracking technology.

A comparative study of stereopsis measurements: analyzing natural conditions versus dichoptic presentation using smartphones and ultraviolet printer technology

“…Moreover, electronic stereoscopic measurement can be integrated with various advanced devices, such as eye trackers, facial trackers, etc ., to realize accurate, convenient stereopsis tests. Liu et al (2023) combined stereopsis measurement with the eye tracker to create a new test method that achieves the self-service stereotest that can output objective indicators and is highly consistent with the conventional test methods. In this study, our results are in accordance with the experimental results mentioned by Langer & Siciliano (2015) , who set out an experiment that employed a 3D display with blur generated by image processing to investigate the influence of blur cues on depth discrimination from disparity.…”