Motion Estimation and Motion Compensation on Reducing Visual Fatigue

NCT ID: NCT07038759

Last Updated: 2025-06-26

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 40 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-05-30
• Study Completion Date: 2025-01-31

Brief Summary

Visual fatigue, a hallmark of CVS, is particularly prevalent among mobile gamers who engage in prolonged gaming sessions. The dynamic visual stimuli in modern games-characterized by rapid movements, high refresh rates, and intricate details-place substantial strain on the oculomotor system, leading to symptoms like eye discomfort, reduced concentration, and even cognitive fatigue. Studies have shown that gaming on smartphones can exacerbate visual fatigue. These effects are often compounded by suboptimal viewing conditions, such as improper lighting or prolonged near-work distances, which are common during mobile gaming. Given the growing popularity of mobile gaming, there is an urgent need to address visual fatigue in this context to enhance user comfort and prevent long-term ocular health issues.

The investigators hypothesize that MEMC-enabled devices may reduce the physiological and cognitive burden of visual fatigue by improving motion clarity and minimizing oculomotor strain. To test this, the investigators comparing MEMC-enabled and standard gaming experiences, this study provides insights into differences in visual health indicators, cognitive load, and physiological responses. These findings aim to inform the development of display technologies and usage guidelines that promote healthier interactions with smartphones, particularly for reducing visual fatigue and prolonged gaming scenarios.

Conditions

Motion Estimation and Motion Compensation

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: OTHER
• Blinding Strategy: TRIPLE

Study Groups

MEMC group

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.

Group Type: EXPERIMENTAL

the Motion Estimation and Motion Compensation

Intervention Type: DEVICE

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).

normal group

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.

Group Type: NO_INTERVENTION

No interventions assigned to this group

Interventions

the Motion Estimation and Motion Compensation

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).

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• volunteers aged from 25 years to 36 years who were familiar with smartphone use and proficient in playing the King of Glory game

Exclusion Criteria

• comprised individuals who used eyedrops or other treatments within the previous week, had ocular diseases beyond dry eye, wore contact lenses within the past month, underwent eye surgery within six months, or were pregnant, breastfeeding, or had severe systemic diseases, psychosis, or dementia.

• Minimum Eligible Age: 25 Years
• Maximum Eligible Age: 36 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Zhongshan Ophthalmic Center, Sun Yat-sen University

OTHER

Sponsor Role: lead

Responsible Party

Jin Yuan

Clinical Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center

Beijing, , China

Countries

China

Other Identifiers

2019KYPJ101

Identifier Type: -

Identifier Source: org_study_id