Automated Orientation & Mobility Training in Virtual Reality for Low Vision Rehabilitation

自动定向

• 批准号: 10665651
• 负责人: Jacob Chakareski
• 金额: $ 49.1万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10665651
• 关键词: Activities of Daily Living; Affect; Alabama; American; Analysis of Variance; Behavior; Certification; Clinical; Computers; Course Content; Educational Curriculum; Educational process of instructing; Effectiveness; Environment; Feedback; Focus Groups; Foundations; Human; Impairment; Independent Living; Individual; Instruction; Intelligence; Internet; Intervention; Knowledge; Laboratory Research; Learning; Location; Low income; Modernization; Neighborhoods; Outcome; Outcome Measure; Patients; Performance; Persons; Population; Process; Quality of life; Randomized; Rehabilitation therapy; Research; Research Personnel; Resources; Safety; Services; Signal Transduction; Site; Specialist; Specific qualifier value; Step training; Students; System; Task Performances; Technology; Testing; Time; Training; Travel; Unemployment; Universities; Vision; Visual impairment; blind; computer monitor; computer program; cost; deaf; design; effectiveness evaluation; experience; flexibility; improved; intelligent tutoring system; medical services inaccessibility; mobility rehabilitation; novel strategies; primary outcome; programs; recruit; rehabilitation service; secondary outcome; skill acquisition; skills; skills training; tutoring; verbal; virtual; virtual environment; virtual reality; virtual reality simulator; vision rehabilitation

The long-term objective of the research is to use Virtual Reality-based Intelligent Orientation & Mobility Specialists (VR-IOMSs) to teach a large portion of the orientation & mobility (O&M) curriculum to low vision (LV) patients. O&M, the ability to orient oneself and to travel independently, safely and efficiently in any environment, is the foundation of independent living and high quality of life. O&M rehabilitation is the only proven intervention that restores mobility lost to LV. Current O&M rehabilitation is conducted by certified O&M specialists (COMS) in real streets. The shortage and uneven distribution of COMS, the mobility difficulty of LV patients, the long training needed to regain independent travel, the non-reimbursable cost of COMS time and the low income/unemployment status of the LV population make this valuable service inaccessible and unaffordable to many who need it the most. A VR-IOMS, a computer program, combines virtual reality and intelligent tutoring technologies. When VR-IOMS courses are delivered through the internet, LV patients can receive quality O&M training in safe virtual environments at their convenient location and time with little cost. This new intervention can thus reduce the accessibility and affordability barriers to O&M rehabilitation. The proposed research is built on our previous study of teaching O&M skills in virtual streets. It is designed to test the hypothesis that there is no difference in real street O&M performance between LV patients who receive O&M training from VR-IOMSs and those who receive training from human COMSs in real streets. Three specific aims will be achieved. 1) Design VR-IOMSs. Three VR-IOMSs for three important O&M tasks, timing to cross a signalized street, timing to cross an uncontrolled street and learning the outdoor numbering system, will be designed. This involves collecting expert knowledge about teaching these tasks through focus group research, defining intelligent course flow and designing course contents in virtual reality. 2) Implement the VR- IOMSs. This involves building virtual reality simulators, developing virtual street scenarios, authoring the intelligent course, programming interfaces between the intelligent O&M specialists and virtual street scenarios. 3) Validate the VR-IOMSs. A randomized training trial will be conducted to compare VR-IOMS and human COMS O&M training. LV subjects will be randomized to learning the three O&M tasks from the VR-IOMSs, from human COMSs and no training. All subjects will be taken to real streets by COMSs before and after training to evaluate their O&M task performance. Pre- and post-training performance changes of the three groups will be compared to quantify relative training effectiveness. If these VR-IOMSs are proven effective, more will be developed and validated in future research. Clinical deployment of these training agents will restore independent travel to more LV patients. The VR-IOMSs, with their explicitly defined training strategies, objective assessments of learner behavior and quantitative outcome measures, can serve as platforms to advance O&M research. Experience gained here can be used to improve other fields of rehabilitation.

该研究的长期目标是使用基于虚拟现实的智能定向和移动 专家 (VR-IOMS) 向低视力者教授大部分定向和移动 (O&M) 课程 (LV)患者。 O&M，即在任何环境中自我定位和独立、安全、高效出行的能力 环境，是独立生活和高品质生活的基础。运维康复是唯一 经证实的干预措施可以恢复左心室失去的活动能力。当前的 O&M 修复由经过认证的 O&M 进行 真实街道上的专家（COMS）。 COMS短缺且分布不均，LV流动困难 患者、恢复独立旅行所需的长期培训、不可报销的 COMS 时间成本以及 低收入人群的低收入/失业状况使得这项宝贵的服务无法获得， 对于许多最需要它的人来说是负担不起的。 VR-IOMS 是一种计算机程序，结合了虚拟现实和 智能辅导技术。当通过互联网提供 VR-IOMS 课程时，左心室患者可以 在安全的虚拟环境中，在方便的地点和时间，以低廉的成本接受高质量的运维培训。 因此，这种新的干预措施可以减少 O&M 康复的可及性和负担能力障碍。 拟议的研究建立在我们之前对虚拟街道中运维技能教学的研究的基础上。它的设计目的是 检验以下假设：接受治疗的 LV 患者之间的实际街道 O&M 表现没有差异 来自 VR-IOMS 的运维培训以及在真实街道上接受人类 COMS 培训的人员。三 具体目标将会实现。 1) 设计 VR-IOMS。三台VR-IOMS，承担三项重要运维任务、定时 穿过有信号的街道，计时穿过不受控制的街道并学习室外编号系统， 将被设计。这涉及通过焦点小组收集有关教授这些任务的专家知识 研究、定义智能课程流程并在虚拟现实中设计课程内容。 2）实施VR- IOMS。这涉及构建虚拟现实模拟器、开发虚拟街道场景、创作 智能课程、智能运维专家与虚拟街道场景的编程接口。 3) 验证 VR-IOMS。将进行随机训练试验来比较 VR-IOMS 和人类 COMS运维培训。 LV 受试者将被随机学习 VR-IOMS 的三项 O&M 任务， 来自人类 COMS，且无需任何培训。所有受试者将在前后被 COMS 带到真实的街道上 培训以评估他们的运维任务绩效。三者训练前后的表现变化 将比较各组以量化相对培训效果。如果这些 VR-IOMS 被证明有效， 在未来的研究中将开发和验证更多。这些训练剂的临床部署将 让更多左心室患者恢复独立出行。 VR-IOMS 具有明确定义的训练策略， 对学习者行为和定量结果测量的客观评估，可以作为平台 推进运维研究。这里获得的经验可用于改善康复的其他领域。