Adaptive prompting to promote activity for residents of retirement living

这项研究将专注于开发和评估自动提示退休设施中的居民参与社区活动的算法，这将帮助他们在身体和认知方面保持活跃。挑战将是开发有效的提示技术，以适应每个用户的偏好和习惯。为此，随着时间的推移，我们将使用机器学习技术为每个人量身定做提示策略。这项研究的结果将是一个激励原型，将与施莱格尔退休村庄的一些居民进行评估。自适应提示技术将与NexJ基于云的健康解决方案软件集成。该项目将增强NexJ在机器学习方面的研究能力，并可能在退休生活社区带来新的商业机会。

This research will focus on the development and evaluation of algorithms to automatically prompt residents in retirement facilities to participate in community activities that will help them to remain active both physically and cognitively. The challenge will be to develop effective prompting techniques that can adapt to the preference and habits of each user. To that effect, we will use machine learning techniques to tailor prompting strategies to each individual over time. The outcome of this research will be a prompting prototype that will be evaluated with some residents at the Schlegel Retirement Villages. The adaptive prompting techniques will be integrated with NexJ's cloud-based health solutions software. This project will enhance NexJ's research capacity in Machine Learning and may lead to new business opportunities in retirement living communities.