Advanced Visualization Branch

高级可视化分支

基本信息

项目摘要

The purpose of the AVB is to improve self-management among persons with complex chronic disease. The primary research instrument we use is immersive virtual reality (IVR, VR), which allows the participant to experience familiar community-like environments and conduct self-management activities in a highly controlled space that allows for precise measurement of movement and assessment of the cognitive and behavioral task effort. To this aim, we develop virtual environments that depict scenes familiar to the lay person (homes, grocery stores) and ensure that these are accessible to a broad range of individuals including those with limited digital experience, across a broad age-range, diverse backgrounds, and potentially those with some cognitive or physical limitation. Now that we have demonstrated that the virtual shopping environment and interface works for a broad range of individuals, we will submit additional protocols using IVR to evaluate specific aspects of self-management. We are in the process of preparing presentations and manuscripts to disseminate the findings of our Phase 1 usability study. The results of our first study support our aims to create accessible experiences to a broad range of participants, even those with minor disabilities. Phase 2 of the study is due to launch in September 2023. We already have an extensive waitlist of individuals wanting to participate. We employ standard measures for social determinants of health, cognitive function, grocery shopping behaviors, and past virtual reality experience. For outcome assessment we utilize validated instruments to identify cognitive fatigue (VAS-Fatigue), task burden (NASA TLX), and simulator sickness assessment (VRSQ). We employ observational measures such as time to perform tasks, duration of IVR immersion, perceptions of reality, spatial presence and immersion in the virtual space, footfalls, and navigation patterns during task completion. Further, participant interviews are used to identify positive, neutral, and negative sentiments to better understand the strengths and challenges experienced. This year, in preparation for our next protocol which aims to examine how people under dietary restrictions (e.g., sodium restriction, low fat, low carb, low potassium, etc.) shop for food with particular interest attention to nutrition labels, we conducted additional key informant interviews that included racially and ethnically diverse individuals to identify gaps in product availability within our grocery store and categorize what additional items are needed. Further, we identified validated instruments which aid in identifying those who experience food and nutrition insecurity, as those factors influence how an individual shops for food. Additionally, we are evaluating a third-party eye-tracking application to determine, from a technical standpoint, how well we can capture eye movement and gaze fixation. Our second environment, used to assess participants abilities to perform medication self-management within the home environment, remained paused due to the increased resource requirement to modify and execute the Phase 2 protocol using the grocery store. This virtual environment and pill-sorting task are a jumping off point for a future protocol evaluating the cognitive and environmental factors influencing medication management. Our lab has a strong commitment to training, including hosting two post-bac trainees and two summer interns. Trainees participate in all phases of design and evaluation of our IVR environments, and gain additional experiences using big data, and supporting common data elements work. Dr Susan Persky (NHGRI) welcomes our trainees to her weekly lab meetings and they are active participants. Our trainees also participate in journal clubs and NIH poster sessions. Once Post-Bac published an article describing our virtual environments as a novel mechanism for showing patient data. We presented posters at the American Medical Informatics Association annual meeting, thus integrating VR into the biomedical informatics community. Our trainees each have an experience proposing and answering questions using the All of Us Researchers workbench. These data provided a platform for training in research statistics using existing data and scientific presenting. Additionally, our studies have included data that supports NINR common data elements and initiatives including the social determinants of health and PROMIS measures. We are interested in extending our research through collaborations and are exploring options with NIMHD, NIDA, NIA, and NIDCD. Our current staff includes the Principal Investigator, a staff scientist, two post-bac trainees, two summer interns and 3 remote contractors including a full-time graphic designer, a part-time engineer, and a part-time clinical informatics nurse. Our team is geographically spread across the country in different time zones and varying work schedules. We hired a new staff scientist but have been unsuccessful in recruiting a computer engineer. Despite a small staff, under mostly remote telework, the AVB has moved forward with a complex research agenda and has completed proof of concept that immersive technology has potential to be a useful tool in the healthcare arena. We anticipate an acceleration of our scientific program over the next year.
AVB的目的是改善患有复杂慢性病的人的自我管理。我们使用的主要研究工具是沉浸式虚拟现实(IVR,VR),它允许参与者体验熟悉的社区环境,并在高度受控的空间中进行自我管理活动,从而精确测量运动并评估认知和行为任务的努力。 为了实现这一目标,我们开发了虚拟环境,描绘了外行人(家庭,杂货店)熟悉的场景,并确保这些场景可以被广泛的个人访问,包括那些数字经验有限的人,跨越广泛的年龄范围,不同的背景,以及可能有一些认知或身体限制的人。既然我们已经证明了虚拟购物环境和界面适用于广泛的个人,我们将提交使用IVR的附加协议,以评估自我管理的特定方面。 我们正在准备演示文稿和手稿,以传播我们第一阶段可用性研究的结果。我们第一项研究的结果支持我们的目标,即为广泛的参与者创造无障碍体验,即使是那些有轻微残疾的人。该研究的第二阶段将于2023年9月启动。 我们已经有一个广泛的等待名单的个人希望参加。 我们采用标准措施来衡量健康,认知功能,杂货店购物行为和过去的虚拟现实体验的社会决定因素。 对于结果评估,我们利用经验证的工具来识别认知疲劳(VAS疲劳),任务负担(NASA TLX)和模拟器疾病评估(VRSQ)。 我们采用观察措施,如执行任务的时间,IVR沉浸的持续时间,对现实的看法,空间的存在和沉浸在虚拟空间,脚步声,以及任务完成过程中的导航模式。 此外,参与者访谈用于识别积极,中立和消极的情绪,以更好地了解所经历的优势和挑战。 今年,为了准备我们的下一个协议,该协议旨在研究饮食限制下的人(例如,限钠、低脂、低碳、低钾等)在购买食品时特别注意营养标签,我们进行了额外的关键线人访谈,其中包括种族和民族多样化的个人,以确定我们杂货店内产品供应的差距,并对需要的额外物品进行分类。 此外,我们确定了经过验证的工具,这些工具有助于识别那些经历粮食和营养不安全的人,因为这些因素会影响个人购买食物的方式。 此外,我们正在评估第三方眼动追踪应用程序,以确定从技术角度来看,我们可以捕捉眼球运动和凝视固定的程度。 我们的第二个环境用于评估参与者在家庭环境中进行药物自我管理的能力,由于使用杂货店修改和执行第2阶段方案的资源需求增加,因此仍然暂停。 这种虚拟环境和药丸分类任务是未来协议的起点,评估影响药物管理的认知和环境因素。 我们的实验室对培训有很强的承诺,包括接待两名后bac学员和两名暑期实习生。 学员参与我们IVR环境设计和评估的所有阶段,并获得使用大数据和支持常见数据元素工作的额外经验。Susan Persky博士(NHGRI)欢迎我们的学员参加她每周的实验室会议,他们都是积极的参与者。 我们的学员还参加期刊俱乐部和NIH海报会议。有一次,Post-Bac发表了一篇文章,将我们的虚拟环境描述为一种显示患者数据的新机制。 我们在美国医学信息学协会年会上展示了海报,从而将VR整合到生物医学信息学领域。我们的每个学员都有使用All of Us Researchers工作台提出和回答问题的经验。 这些数据为利用现有数据和科学列报进行研究统计培训提供了一个平台。此外,我们的研究还包括支持NINR共同数据要素和举措的数据,包括健康的社会决定因素和PROMIS措施。我们有兴趣通过合作扩展我们的研究,并正在探索与NIMHD,NIDA,NIA和NIDCD的选择。 我们目前的工作人员包括首席研究员,一名科学家,两名后bac学员,两名暑期实习生和3名远程承包商,包括一名全职平面设计师,一名兼职工程师和一名兼职临床信息学护士。我们的团队在地理上分布在不同的时区和不同的工作时间表。 我们雇用了一名新的科学家,但未能招到一名计算机工程师.尽管工作人员很少,但在大多数远程工作的情况下,AVB已经推进了一项复杂的研究议程,并完成了概念验证,即沉浸式技术有可能成为医疗保健竞技场中的有用工具。我们预计明年我们的科学计划将加速进行。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Designing Immersive Virtual Reality Environments for Supporting Patients at Home: Translating Input From Home Care Nurse Experts to Design Requirements.
设计沉浸式虚拟现实环境以支持家庭患者:将家庭护理护士专家的输入转化为设计要求。
  • DOI:
    10.1097/cin.0000000000000895
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Goldsmith,DeniseM;Flash,Sara;Holdnack,Jim;Brennan,PatriciaFlatley
  • 通讯作者:
    Brennan,PatriciaFlatley
Usability and Effectiveness of Immersive Virtual Grocery Shopping for Assessing Cognitive Fatigue in Healthy Controls: Protocol for a Randomized Controlled Trial.
  • DOI:
    10.2196/28073
  • 发表时间:
    2021-08-04
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Holdnack JA;Brennan PF
  • 通讯作者:
    Brennan PF
Educational and Ethical Considerations for Genetic Test Implementation Within Health Care Systems.
  • DOI:
    10.1089/nsm.2019.0010
  • 发表时间:
    2020-01-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kurnat-Thoma, Emma
  • 通讯作者:
    Kurnat-Thoma, Emma
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Patricia Brennan其他文献

Patricia Brennan的其他文献

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{{ truncateString('Patricia Brennan', 18)}}的其他基金

Advanced Visualization Branch
高级可视化分支
  • 批准号:
    10706199
  • 财政年份:
  • 资助金额:
    $ 75.79万
  • 项目类别:
Advanced Visualization Branch
高级可视化分支
  • 批准号:
    10018449
  • 财政年份:
  • 资助金额:
    $ 75.79万
  • 项目类别:
Advanced Visualization Branch
高级可视化分支
  • 批准号:
    9792202
  • 财政年份:
  • 资助金额:
    $ 75.79万
  • 项目类别:

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