研究人工智能界面支持痴呆症患者不同类型记忆的潜力。

Hanuma Teja Maddali, Emma Dixon, Alisha Pradhan, Amanda Lazar
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引用次数: 0

摘要

人机交互领域对了解痴呆症患者的特殊技术需求以及支持他们自我管理日常活动的兴趣与日俱增。其中最难解决的挑战之一就是支持痴呆症患者不断变化的无障碍需求,这种需求会随着痴呆症的具体类型和病情发展而变化。研究人员发现,自动个性化界面,以及最近的人工智能或人工智能驱动的个性化是一种潜在的解决方案,可以让能力不稳定的用户以可扩展的方式使用商业技术。然而,人们对痴呆症患者将人工智能作为日常技术使用辅助工具的看法,以及人工智能在其整体自我管理系统(包括其他非人工智能技术和人工辅助)中的作用还缺乏了解。在本文中,我们提出了基于人工智能的系统设计的未来方向,以针对不同类型记忆中与痴呆症相关的变化提供个性化界面,同时提出了人工智能与痴呆症用户互动的期望。
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Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia.

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.

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