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Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia.
Maddali, Hanuma Teja; Dixon, Emma; Pradhan, Alisha; Lazar, Amanda.
Afiliação
  • Maddali HT; University of Maryland, College Park, MD, USA.
  • Dixon E; University of Maryland, College Park, MD, USA.
  • Pradhan A; University of Maryland, College Park, MD, USA.
  • Lazar A; University of Maryland, College Park, MD, USA.
Article em En | MEDLINE | ID: mdl-35727721
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article