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运动活动的影响 关于老年人的健康，特别是当干预措施与利益相关者设计时（例如， 熟练的护理设施人员和居民）在循环中，能够适应用户能力的变化 过度使用（使用运动活动中内置的评估来衡量）。作为全球 老年人的人口增长，需要新的资源来支持老年人的健康 社区也在上升。特别是，可以在可用的资源中存在限制 体育锻炼，认知运动，社会联系和娱乐活动 社区。因此，为确保老年人健康的老龄化机会，至关重要（1） 设计自动机器人系统以支持这些类型的需求，（2）启用这些系统 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 在感兴趣的环境中长时间的系统。 拟议的工作在其研究团队中是独一无二的，提议的锻炼活动，跟踪用户的方法 能力水平，以及在感兴趣的真实环境中对长期部署的考虑。 pis' 与老年医生（作为高级人员）和当地熟练护理设施（作为关键 合作者）从项目开头，该项目成功调查了新的项目的能力 机器人部署应用程序。拟议的锻炼活动，最初是在PI的过去中进行的 工作，将身体和认知元素在不同程度上结合起来，从而取决于活动 比纯体育锻炼更多地鼓励更多的心理互动，通常会 产量（反之亦然）。同样，随着时间的推移，练习的更新支持继续参与 机器人系统和技能改进，大多数当前工具不允许使用。最后， 计划的纵向部署有助于了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）的有意义的变化。 相关性（请参阅说明）： 该建议的核心研究目标集中于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，熟练的生活社区 护理设施）。为了与NIA的利益保持一致，该项目将进行参与式机器人干预 与老年人和熟练的护理设施利益相关者的设计，执行设计建造测试周期 由此产生的机器人干预系统，并评估机器人系统对与健康相关指标的影响。