Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia

Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia
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研究人工智能接口支持痴呆症患者不同类型记忆的潜力

DOI:
10.1145/3491101.3519858
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发表时间:
2022
期刊:
CHI Conference on Human Factors in Computing Systems Extended Abstracts
影响因子:
--
通讯作者:
Lazar, Amanda
Lazar, Amanda
中科院分区:
--
文献类型:
--
作者:
Maddali, Hanuma Teja;Dixon, Emma;Pradhan, Alisha;Lazar, Amanda

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人们对人工智能越来越感兴趣,以了解痴呆症患者的具体技术需求,并支持他们自我管理日常活动。需要解决的最困难的挑战之一是支持痴呆症患者波动的无障碍需求,这些需求因痴呆症的具体类型和病情进展而异。研究人员已经确定了自动个性化界面,最近,人工智能或人工智能驱动的个性化作为一种潜在的解决方案,可以为能力波动的用户以可扩展的方式访问商业技术。然而,对于痴呆症患者对人工智能作为日常技术使用辅助工具的看法,以及人工智能在他们的整体自我管理系统(包括其他非人工智能技术)和人类协助中的作用,人们缺乏了解。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,以个性化不同类型记忆中与痴呆症相关的变化的界面,以及对人工智能与痴呆症用户交互的期望。
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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发表时间: 2017
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