Ethro Time Theory — A Computational Framework for Perceptual Temporal Flow in Virtual Environments

The Ethro Time Theory v2.3 advances the computational modeling and practical deployment of subjective time control in immersive systems. Building on the original formalism that defines perceived time as the integral of a dynamic Ethro Rate r(t)r(t)r(t), this release introduces a live, web-based simulator and an adaptive control pipeline that enable real-time tuning, measurement, and optimization of subjective temporal flow. Key innovations include a multi-component rate decomposition (baseline, contextual, adaptive, and neural components), a real-time noise layer and smoothing to emulate natural variability, and an AI-driven optimization loop that iteratively adjusts parameters to balance temporal accuracy, user comfort, and system stability. The simulator ships with ready-made presets (Gaming, Calm, Training, Learning), session scoring and PDF/JSON export, and an interactive sensitivity panel — making it immediately usable for experimental validation, user studies, and prototyping in VR/AR. This release is intended for researchers and developers seeking an experiment-ready platform for temporally-adaptive experiences and is distributed under CC BY-NC-SA 4.0.