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

TL;DR

This paper explores how AI-powered interfaces can be personalized to support various memory types in people with dementia, aiming to improve their daily self-management and accessibility.

Contribution

It provides future directions for designing AI systems that adapt interfaces to dementia-related memory changes and discusses user perceptions and expectations.

Findings

Identifies the potential of AI for personalized dementia support

Highlights the importance of understanding user perceptions

Suggests design directions for AI-based memory support

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.