The assessment of color vision is crucial in both fundamental visual research and clinical diagnosis. However, existing tools for color vision assessment are limited by various factors. This study introduces a novel, efficient method for color vision assessment, which is based on a continuous motion tracking task and a Kalman filter model. The effectiveness of this new method was evaluated by assessing the color vision of both color-deficient observers and normal controls. The results from both a small sample (N = 29, Experiment 1) and a large sample (N = 171, Experiment 2) showed that color-deficient observers could be perfectly identified within 20 s using the tracking performance. We also compared the new method with a traditional psychophysical detection task to examine the consistency of perceptual noise estimation between the two methods, and the results showed a moderate correlation (Pearson's r = .59 ~ .64). The results also demonstrated that the new method could measure individuals’ contrast response functions of both red–green and blue–yellow colors (e.g., the L–M and S–(L + M) axes in DKL color space) in just a few minutes, showing much higher efficiency than traditional methods. All the findings from this study indicate that the continuous motion tracking method is a promising tool for both rapid screening of color vision deficiencies and fundamental research on color vision.
