There has been a growing interest in HCI to understand the specific technological needs of people with dementia and supporting them in self-managing daily activities. One of the most difficult challenges to address is supporting the fluctuating accessibility needs of people with dementia, which vary with the specific type of dementia and the progression of the condition. Researchers have identified auto-personalized interfaces, and more recently, Artificial Intelligence or AI-driven personalization as a potential solution to making commercial technology accessible in a scalable manner for users with fluctuating ability. However, there is a lack of understanding on the perceptions of people with dementia around AI as an aid to their everyday technology use and its role in their overall self-management systems, which include other non-AI technology, and human assistance. In this paper, we present future directions for the design of AI-based systems to personalize an interface for dementia-related changes in different types of memory, along with expectations for AI interactions with the user with dementia.
翻译:人们日益关注人类痴呆症患者的具体技术需求,并支持他们开展日常自我管理活动,其中最困难的挑战之一是支持痴呆症患者不断变化的无障碍需求,这种需求因痴呆症的具体类型和病情的发展而异。 研究人员已经确定自我个性化界面,以及最近人工智能或人工智能驱动的个人化是使智力波动的用户能够以可调整的方式获得商业技术的潜在解决办法。然而,人们对于AI周围痴呆症患者的观念缺乏了解,这种观念有助于他们的日常技术使用及其在总体自我管理系统中的作用,其中包括其他非AI型技术,以及人类援助。在本论文中,我们提出了基于人类智能的系统设计的未来方向,以个性化对不同类型记忆中的痴呆症相关变化的界面,以及对于与痴呆症患者的AI互动的期望。