Color vision deficiencies (CVDs) significantly impair day-to-day living of over 20% of the population (Delpero et al., 2005). Thus, it is important to test for CVDs in occupational and academic settings, especially for people with other disabilities. Previous research developed a novel diagnostic tool for automatically assessing color vision using a brain-computer interface (BCI) system (Norton et al., 2021). This system uses steady-state visual evoked potentials (SSVEPs) to identify metamers—light sources with different spectral distributions that are perceived as the same color. A stimulus that alternates at 10 Hz between an amber monochromatic light source (reference source) and a red+green dichromatic light source (test source) elicits an SSVEP. By fixing the reference source and adjusting the test source, metamers can be identified by finding the settings that elicit an SSVEP of minimum size. Previous research indicates that at higher alternation frequencies, luminance differences are the key determining factor in eliciting SSVEPs. At lower frequencies, SSVEP amplitudes are largely dependent on differences in hue. The current study identified optimal stimulation frequencies for BCI based color vision assessment by using a set of test source settings at multiple alternation rates, ranging from 1-30 Hz. To verify the relationship between SSVEP amplitudes and hue/luminance, this set of test source settings included settings of similar luminances but different hues in addition to settings of different luminances but similar hues. At higher alternation rates, SSVEP amplitudes were expected to increase when the test settings have different luminances and similar hues. For test settings with similar luminances and different hues, SSVEP amplitudes were expected to decrease as frequency increases. It is anticipated that optimal stimulation frequencies will fall between 8-15 Hz. Findings will be used to increase the speed of BCI systems and improve their use in people with color vision deficits.