TY - GEN
T1 - Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia
AU - Maddali, Hanuma Teja
AU - Dixon, Emma
AU - Pradhan, Alisha
AU - Lazar, Amanda
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/4/27
Y1 - 2022/4/27
N2 - 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.
AB - 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.
KW - accessibility
KW - artificial intelligence
KW - auto-personalization
KW - dementia
UR - http://www.scopus.com/inward/record.url?scp=85129776790&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129776790&partnerID=8YFLogxK
U2 - 10.1145/3491101.3519858
DO - 10.1145/3491101.3519858
M3 - Conference contribution
AN - SCOPUS:85129776790
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
Y2 - 30 April 2022 through 5 May 2022
ER -