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

Hanuma Teja Maddali, Emma Dixon, Alisha Pradhan, Amanda Lazar
{"title":"Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia.","authors":"Hanuma Teja Maddali, Emma Dixon, Alisha Pradhan, Amanda Lazar","doi":"10.1145/3491101.3519858","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":73006,"journal":{"name":"Extended abstracts on Human factors in computing systems. CHI Conference","volume":"226 226","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201618/pdf/nihms-1808336.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Extended abstracts on Human factors in computing systems. CHI Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3491101.3519858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研究人工智能界面支持痴呆症患者不同类型记忆的潜力。
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App. Will AI allow us to dispense with all or most accessibility regulations? Battling Bias in Primary Care Encounters: Informatics Designs to Support Clinicians. Emerging Telepresence Technologies in Hybrid Learning Environments. Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1