NRI: Robot-Assisted Longitudinal Physical and Cognitive Exercise Interventions for Older Veterans

NRI：机器人辅助老年退伍军人纵向身体和认知运动干预

• 批准号: 10652616
• 负责人: Naomi T Fitter
• 金额: $ 26.94万
• 依托单位: OREGON STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10652616
• 关键词: Assisted Living Facilities; Categories; Cognitive; Communities; Data; Elderly; Elements; Ensure; Environment; Evaluation; Excision; Exercise; Foundations; Goals; Health; Human Resources; In Situ; Instruction; Intervention; Learning; Light; Measures; Mediating; Methods; Mind; Moderate Exercise; Older Population; Oregon; Outcome; Patient Self-Report; Phase; Physical Exercise; Physical activity; Principal Investigator; Psyche structure; Research; Resources; Rest; Robot; Robotics; Skilled Nursing Facilities; System; Time; Universities; Update; Veterans; Well in self; Work; active control; community living; design; design,build,test; exercise intervention; follow-up; healthy aging; human centered design; improved; innovation; interest; member; programs; prototype; psychosocial; psychosocial wellbeing; robot assistance; robotic system; skills; social; strength training; success; therapy design; tool; treatment group; wearable sensor technology

The proposed research will study the effects of robot-mediated physical and cognitive exercise activities on older adult wellness, in particular when the intervention has been designed with stakeholders (e.g., skilled nursing facility staff and residents) in the loop and with the ability to adapt to changes in user ability over longitudinal use (as measured using assessments built into the exercise activities). As the worldwide population of older adults grows, the need for new resources to support wellness in older adult communities also rises. In particular, limitations are already present in resources available to encourage physical activity, cognitive exercise, social connectedness, and entertainment for members of these communities. Thus, to ensure healthy aging opportunities for older adults, there is a critical need to (1) design autonomous robotic systems to support these types of needs, (2) enable these systems with the ability to learn and adapt over time to maintain relevance and interest, and (3) to deploy these robotic systems for extended periods of time in the environments of interest. The proposed work is unique in its research team, proposed exercise activities, methods of tracking user ability levels, and consideration of long-term deployments in real environments of interest. The PIs' partnership with a gerontologist (as Senior Personnel) and local skilled nursing facility (as a key collaborator) from the start of the project supports this project's ability to successfully investigate a new robot deployment application. The proposed exercise activities, as initially prototyped in the PI's past work, combine physical and cognitive elements to different degrees depending on the activity, thereby encouraging more mental engagement with physical tasks than pure physical exercise would typically yield (and vice versa). Similarly, the updating of exercises over time supports continued engagement with the robotic system and skill improvement in ways that most current tools do not allow for. Lastly, the planned longitudinal deployment facilitates understanding how this type of robotic system can lead to meaningful change in wellness (e.g., physical, cognitive, and psychological well-being) for older adults. RELEVANCE (See instructions): The core research goal of this proposal centers on the human-centered design and long-term deployment of robots that can promote wellness in older adult communities (e.g., assisted living communities, skilled nursing facilities). In alignment with NIA interests, the project will conduct participatory robotic intervention design with older adult and skilled nursing facility stakeholders, perform design-build-test cycles of the resultant robotic intervention systems, and evaluate robotic system impact on health-related metrics.

拟议的研究将研究机器人介导的身体和认知锻炼活动的影响 老年人健康，特别是当干预措施是与利益相关者共同设计时（例如， 熟练的护理机构工作人员和居民）参与其中并能够适应用户能力的变化 超过纵向使用（使用锻炼活动中内置的评估进行测量）。作为世界范围内 老年人口不断增长，需要新的资源来支持老年人的健康 社区也在崛起。特别是，可用于鼓励的资源已经存在限制。 这些成员的体力活动、认知锻炼、社交联系和娱乐 社区。因此，为了确保老年人健康老龄化的机会，迫切需要（1） 设计自主机器人系统来支持这些类型的需求，(2) 使这些系统能够 随着时间的推移学习和适应以保持相关性和兴趣的能力，以及（3）部署这些机器人 系统在感兴趣的环境中长时间工作。 拟议工作的独特之处在于其研究团队、提出的练习活动、跟踪用户的方法 能力水平，并考虑在感兴趣的真实环境中长期部署。 PI 的 与老年学家（作为高级人员）和当地熟练护理机构（作为关键 合作者）从项目一开始就支持该项目成功研究新项目的能力 机器人部署应用程序。拟议的演习活动，最初是在 PI 过去的原型中进行的 工作，根据活动不同程度地结合身体和认知元素，从而 与纯粹的体育锻炼相比，鼓励更多的精神参与体育任务 产量（反之亦然）。同样，随着时间的推移练习的更新支持持续参与 以大多数当前工具不允许的方式改进机器人系统和技能。最后， 计划的纵向部署有助于理解这种类型的机器人系统如何导致 老年人的健康（例如身体、认知和心理健康）发生有意义的变化。 相关性（参见说明）： 该提案的核心研究目标围绕以人为本的设计和长期部署 可以促进老年人社区健康的机器人（例如辅助生活社区、技术人员社区） 护理设施）。为了符合 NIA 的利益，该项目将进行参与式机器人干预 与老年人和熟练护理设施利益相关者一起设计，执行设计-构建测试周期 由此产生的机器人干预系统，并评估机器人系统对健康相关指标的影响。