With continuous advancements in lighting control technologies, an innovative gaze-dependent lighting system has been proposed and validated. This system can dynamically shape lighting environments based on users’ gaze directions, enhancing visual experiences and application efficacy. However, research on how the lighting environments created by this system impact users remains limited. This study proposes a mixed reality (MR)-based method for simulating lighting environments, thereby enabling investigations into the relationship between lighting control systems and users. The method, based on an existing MR device with built-in cameras for high-precision eye-tracking, does not require actual lighting installations for control, significantly reducing complexity and hardware costs. A self-developed experimental program will process a reference lighting environment captured by external cameras, applying video processing effects—such as filtering and masking — to adjust brightness levels across the displayed scene in real-time in response to gaze direction. Participants will compare unprocessed lighting conditions (reference) and processed lighting conditions (test) to provide qualitative and quantitative feedback to evaluate gaze-dependent lighting environments.