Image features influence reaction time

We aim to ask and answer an essential question " how quickly do we react after observing a displayed visual target?" To this end, present psychophysical studies that characterize the remarkable disconnect between human saccadic behaviors spatial acuity. Building on results of our studies, develop perceptual model predict temporal gaze behavior, particularly latency, as function statistics image. Specifically, implement neurologically-inspired probabilistic mimics accumulation confidence leads decision. validate with series objective measurements user using eye-tracked VR display. The demonstrate prediction is in statistical alignment real-world behavior. Further, establish many sub-threshold image modifications commonly introduced graphics pipelines may significantly alter reaction timing, even if differences are visually undetectable. Finally, show can serve metric latency users interactive computer applications, thus improve gaze-contingent rendering, design virtual experiences, player performance e-sports. illustrate two examples: estimating competition fairness video game different team colors, tuning display viewing distance minimize time.