Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

6.1K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
6.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Low Vision Assessment in Virtual Reality (LVAVR): Spatial Computing in Virtual Reality and Real-World.

2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops·2026
Same author

Gamification Enhances User Engagement and Task Performance in Prosthetic Vision Testing.

Translational vision science & technology·2026
Same author

Development and Validation of the Assessment of Low Luminance Vision-Related Activities.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026
Same author

Hearing Impairment and Visual Rehabilitation Outcomes.

JAMA ophthalmology·2026
Same author

The Association between a Pharmacy-Based Estimate of Medication Adherence and Surgical and Laser Treatments in Glaucoma Patients.

Ophthalmology. Glaucoma·2026
Same author

Perceived sound localization abilities in blind individuals.

PloS one·2026

相关实验视频

Updated: Jul 13, 2025

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.1K

自我报告的视觉能力与超低视力个体的任务表现.

Arathy Kartha1, Ravnit Kaur Singh2, Chris Bradley3

  • 1SUNY College of Optometry, New York, NY, USA.

Translational vision science & technology
|October 17, 2023
PubMed
概括

对于视力超低的人来说,自我报告的视觉功能是实际任务执行的不完美预测器. 通过性能测试来测量视觉能力,就像虚拟现实评估一样,建议在临床试验中进行准确的评估.

更多相关视频

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

405
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

627

相关实验视频

Last Updated: Jul 13, 2025

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.1K
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

405
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

627

科学领域:

  • 眼科和视觉科学 眼科和视觉科学
  • 人与计算机的交互
  • 康复和辅助技术 康复和辅助技术

背景情况:

  • 患者报告的结果指标 (PROM),如视觉功能问卷,是评估视觉能力的标准.
  • 性能测量提供视觉能力的直接评估,对于严重视力障碍的人来说至关重要.
  • 超低视力 (ULV) 为准确测量视觉功能带来了独特的挑战.

研究的目的:

  • 为了评估超低视力视觉功能问卷 (ULV-VFQ) 自我报告的预测准确性,与威尔默VRI虚拟现实系统测量的实际任务性能相比.
  • 为了将自我报告的视觉能力与 ULV 个体的客观绩效指标进行比较.

主要方法:

  • 从ULV-VFQ和Wilmer VRI中给27名ULV参与者进行了10个匹配项的子集.
  • 采用了ULV-VFQ (自我报告) 的拉什分析和Wilmer VRI (性能指标) 的潜变信号检测理论,以估计人与物品指标.
  • 使用回归分析来比较从自我报告和任务执行中得出的估计.

主要成果:

  • 从两种仪器 (r2 = 0.47和r2 = 0.36,分别) 中,在项目措施 (任务难度) 和人 (视觉能力) 之间发现了适度的相关性.
  • 证明自我报告的视觉功能是 ULV 个体实际任务难度和绩效的不完善预测器.
  • 突出了主观报告和客观绩效评估之间的差异.

结论:

  • 实际的任务性能测量对于准确评估ULV患者的视觉能力至关重要.
  • 虽然自我报告在资源方面要求较低,但它们并不能完全捕捉到一个人的功能视觉.
  • 视觉性能测量,可能使用虚拟现实进行标准化,应在ULV群体的临床试验中优先考虑.