Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia
November 19, 2022 Β· Declared Dead Β· π CHI Extended Abstracts
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Authors
Hanuma Teja Maddali, Emma Dixon, Alisha Pradhan, Amanda Lazar
arXiv ID
2211.10756
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
11
Venue
CHI Extended Abstracts
Last Checked
4 months ago
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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