An interactive framework for the evaluation and detection of stereoacuity threshold under ambient lighting

Objective: Our study aims to provide a novel framework for the continuous evaluation of stereoacuity under ambient lighting conditions using Bayesian inference. Methods: We applied a combination of psychophysical and expected entropy minimization procedures for the computation of a continuous stereoacuity threshold. Subsequently, we evaluated the effect of ambient lighting during stereoacuity testing (ST) by adopting a bisection-matching based adaptive gamma calibration (AGC). Participants (\(N=187\)) including visually healthy controls (\(N=51\)), patients with Intermittent Divergent Squint (IDS; \(N=45\)), and controls with induced anisometropia (IA; \(N=91\)) performed ST with and without AGC under two lighting conditions: completely dark (20 cd/m\(^2\)) and normally lit (130 cd/m\(^2\)) rooms. Results: Our framework demonstrated "excellent" reliability (\(> 0.9\)) and a positive correlation with TNO (a clinical stereo test), regardless of whether AGC was conducted. However, when AGC is not performed, significant differences (Friedman \(X_{r}^{2} = 28.015\); \(p