目的：观察基于视线跟踪技术的全自动反馈视野计在大学生的初步应用并验证其测试效能。

方法：利用眼动仪与家用计算机、显示器搭建完成新型全自动反馈视野计平台后，基于注视和跳动两种特征眼动，通过分析参与者是否感知到刺激视标，视线扫描路径及向刺激视标注视点，从而判断参与者该部分视野是否存在异常。

结果：共采集63名119眼有效眼动数据，所有参与者完成测试平均时间为82.46±14.68 s，右眼平均测试时间为88.21±15.30 s，左眼平均测试时间为76.42±11.29 s，左、右眼测试时长有差异(P<0.05)。

结论：基于视线跟踪技术的全自动反馈视野计能够实现人机自动交互，使视野检查过程简单易行，缩短了检查时间，提高了参与者体验。

METHODS: Home computer, monitor and eye tracker were used to complete the new automatic feedback perimeter meter. Based on the two characteristic eye movements of fixation and pulsation, the abnormal visual field is determined by analyzing whether the participant perceives the visual target, line-of-sight scan path and the fixation towards the visual target.

RESULTS: A total of 63 participants(119 eyes)were collected with valid eye movement data. The average time for all participants was 82.46±14.68 s, the average time for right eyes was 88.21±15.30 s, and average time for the left eyes was 76.42±11.29 s(P<0.05).

CONCLUSION: The fully automatic feedback perimeter based on eye gaze tracking technique can realize automatic human-computer interaction, and the detection method is simple and easy, which shortens the time of perimetry and improves the experience of participants.