Each subject participated in 30-minute gaming sessions on mobile terminals with MEMC enabled, using identical smartphones from the same manufacturer. Settings were standardized: screen brightness was set to 50% of maximum, the same gaming app was used, and the eye-to-screen distance was fixed at 50 cm. The mobile terminals automatically recorded task performance metrics, including actions per minute (APM) and average response time.

Each subject participated in 30-minute gaming sessions on mobile terminals without MEMC enabled, using identical smartphones from the same manufacturer. Settings were standardized: screen brightness was set to 50% of maximum, the same gaming app was used, and the eye-to-screen distance was fixed at 50 cm. The mobile terminals automatically recorded task performance metrics, including actions per minute (APM) and average response time.

Motion Estimation and Motion Compensation (MEMC) is a video processing technology designed to enhance display quality by interpolating additional frames, thereby reducing motion blur and stuttering in fast-moving scenes. This is achieved by estimating motion between video frames and generating intermediate frames, effectively increasing the frame rate (e.g., from 30 FPS to 120 FPS) and display refresh rate (e.g., from 30 Hz to 120 Hz).

Participants completed the Visual Fatigue Subjective Scale questionnaire post each 30-minute gaming session (MEMC and non-MEMC). This 20-item scale assessed eye strain, headaches, perceived clarity, and general comfort, with responses analyzed to identify differences in subjective visual fatigue between conditions.

Task performance was evaluated using actions per minute (APM), defined as the number of finger interactions (taps, swipes) per minute. Participants performed tasks in a consistent gaming scenario, with data collected via screen recording and custom logging software. APM reflects interface fluidity. Metrics were compared between MEMC and non-MEMC conditions to assess technology impact.

EEG was recorded using the Biosemi Actiview 64-channel system (Kanjian Technique Co., Ltd., Guangzhou, China) in a dark, quiet room, with participants keeping eyes closed for 5-minute resting-state sessions pre- and post-gaming. The 64 channels included Fp1, Fz, Fp2, AF3, AF4, ..., O1, Oz, O2, M1, M2, CB1, CB2. Signals were filtered (0.5-45 Hz), artifacts removed via Independent Component Analysis (ICA), and sampled at 100 Hz, with bilateral mastoids as reference. Power spectral density (PSD) of theta (4-7 Hz), alpha (8-13 Hz), beta (13-30 Hz), and gamma (30-40 Hz) waves was calculated using discrete Fourier transform (DFT) for O1, Oz, and O2 electrodes. Average relative power and Pearson correlation coefficients for functional connectivity were computed. Pre- and post-exposure differences were statistically analyzed.