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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationCHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450391566
DOIs
StatePublished - Apr 27 2022
Externally publishedYes
Event2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 - Virtual, Online, United States
Duration: Apr 30 2022May 5 2022

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
Country/TerritoryUnited States
CityVirtual, Online
Period4/30/225/5/22

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Keywords

  • accessibility
  • artificial intelligence
  • auto-personalization
  • dementia

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