CHS: Medium: Collaborative Research: Teachable Activity Trackers for Older Adults

CHS：媒介：协作研究：针对老年人的可教学活动追踪器

• 批准号: 1955590
• 负责人: David Conroy
• 金额: $ 12万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955590&HistoricalAwards=false
• 关键词: CHS; Medium; Collaborative; Research; Teachable; CHS; Medium; Collaborative; Research; Teachable

Self-tracking of physical activities can support people of all ages in understanding their lifestyle behaviors and making healthy choices, reducing chronic disease risks. For older adults, movement behaviors are especially critical. They help people maintain functional abilities and live independently. Smart watches and other activity tracking technologies have become available, making self-tracking easier than before, but older adults have adopted them less. One barrier is that current physical activity trackers do not effectively identify and track older adults’ activities. This project aims to understand (1) what kind of data are needed from older adults to make activity tracking work for them; and (2) how to engage older adults to collect the needed data. This project will develop a new approach to personalizing older adults’ activity tracking. It will open up new research avenues on personalized and multimodal self-tracking that affect healthcare, quality of life, and privacy. This project is expected to make broader impacts for older adults in enhancing their motivation to engage in physical activities, as well as societal impacts in nurturing a culture of diversity and inclusion that benefits the lives of older adults and people with and without disabilities or health conditions.This project uses “teachable interfaces” to facilitate personalized, self-tracking for older adults’ physical activities, while considering their changes in mobility and diverse physical characteristics. The teachable interfaces are intended to help people provide personalized activity labels, which will be used to recognize their unique movements. They will also enable self-tracking of meaningful and modifiable movement and non-movement activities, supporting older adults to displace inactivity with physical activity, which can provide significant health benefits. The research team will investigate: (1) older adults’ movement and non-movement activities that they wish to change; (2) new personalized, multimodal activity trackers that provide opportunities for self-reflection through teachable interfaces; and (3) commonalities and differences in efficacies for subgroups of older adults (e.g., people with mild dementia) and what adjustments are needed to accommodate them. Combining expertise from human-computer interaction, interactive machine learning, accessibility, aging, and kinesiology, the project will employ a mixed-methods research approach: co-design with older adults, technology design and development, and evaluations both in the lab and in people’s natural environments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

体育锻炼的自我追踪可以支持各个年龄段的人们了解自己的生活方式行为并做出健康的选择，从而降低慢性疾病风险。对于老年人，运动行为尤其重要。他们帮助人们保持功能能力并独立生活。智能手表和其他活动跟踪技术已经可以使用，使自我跟踪比以前更容易，但是老年人采用的采用量较低。一个障碍是当前的体育活动跟踪器无法有效地识别和跟踪老年人的活动。该项目旨在了解（1）老年人需要哪种数据来使活动跟踪他们的工作； （2）如何吸引老年人收集所需的数据。该项目将开发一种新的方法来个性化老年人的活动跟踪。它将为影响医疗保健，生活质量和隐私的个性化和多模式自我追踪开放新的研究途径。预计该项目将对老年人产生更大的影响，以增强他们从事体育活动的动机，以及在培养多样性和包容的文化方面的社会影响，从而使老年人和有和没有残疾或健康状况的人的生活受益。这项项目使用“可教授的界面”使用“可教学的界面”，以促进成人的身体活动，并在体育锻炼方面进行自我传播，并在体育锻炼方面进行了自我传播，并在体育锻炼方面进行了更改，并努力地研究了dive和DIFER。教师界面旨在帮助人们提供个性化的活动标签，该标签将用于识别其独特的动作。他们还将实现自我追踪有意义的，可修改的运动和不动活动的活动，以支持老年人以体育锻炼的不活跃来取代，这可以带来重大的健康益处。研究小组将调查：（1）他们希望改变的老年人的运动和非运动活动； （2）新的个性化的多模式活动跟踪器，通过教学界面为自我反思提供了机会； （3）老年人亚组（例如，温和痴呆症患者）的亚组的效率和效率差异以及适应这些调整需要什么调整。结合人力计算机互动，互动机器学习，可访问性，衰老和运动机能学的专业知识，该项目将雇用一种混合方法研究方法：与老年人共同设计，技术设计和开发以及在人们的自然环境中进行的评估，这反映了NSF的法定任务和审查范围的范围，这是通过评估的范围来进行的。