Kasneci Enkelejda, Black Alex A, Wood Joanne M
Department of Computer Science, University of Tübingen, Sand 14, 72076 Tübingen, Germany.
School of Optometry and Vision Science, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
J Ophthalmol. 2017;2017:6425913. doi: 10.1155/2017/6425913. Epub 2017 Feb 15.
To date, few studies have investigated the eye movement patterns of individuals with glaucoma while they undertake everyday tasks in real-world settings. While some of these studies have reported possible compensatory gaze patterns in those with glaucoma who demonstrated good task performance despite their visual field loss, little is known about the complex interaction between field loss and visual scanning strategies and the impact on task performance and, consequently, on quality of life. We review existing approaches that have quantified the effect of glaucomatous visual field defects on the ability to undertake everyday activities through the use of eye movement analysis. Furthermore, we discuss current developments in eye-tracking technology and the potential for combining eye-tracking with virtual reality and advanced analytical approaches. Recent technological developments suggest that systems based on eye-tracking have the potential to assist individuals with glaucomatous loss to maintain or even improve their performance on everyday tasks and hence enhance their long-term quality of life. We discuss novel approaches for studying the visual search behavior of individuals with glaucoma that have the potential to assist individuals with glaucoma, through the use of personalized programs that take into consideration the individual characteristics of their remaining visual field and visual search behavior.
迄今为止,很少有研究调查青光眼患者在现实环境中进行日常任务时的眼动模式。虽然其中一些研究报告称,尽管视野缺损,但任务表现良好的青光眼患者可能存在代偿性注视模式,但对于视野缺损与视觉扫描策略之间的复杂相互作用以及对任务表现进而对生活质量的影响,我们知之甚少。我们回顾了现有的方法,这些方法通过眼动分析量化了青光眼性视野缺损对进行日常活动能力的影响。此外,我们讨论了眼动追踪技术的当前发展以及将眼动追踪与虚拟现实和先进分析方法相结合的潜力。最近的技术发展表明,基于眼动追踪的系统有可能帮助青光眼患者维持甚至提高他们在日常任务中的表现,从而提高他们的长期生活质量。我们讨论了研究青光眼患者视觉搜索行为的新方法,这些方法有可能通过使用考虑其剩余视野和视觉搜索行为个体特征的个性化程序来帮助青光眼患者。