Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia

Dementia is a global public health concern, with approximately 55 million individuals worldwide currently living with it. Individual cognitive stimulation therapy (iCST) has been shown to improve quality of life for persons living with dementia (PLwDs). However, providing iCST at scale remains a serious challenge, specifically as it can add considerable burden on care partners. This project focuses on a voice assistant (VA) to support care partners in delivering iCST. We developed a VA prototype and conducted a qualitative study with care partners (N=5). Our preliminary findings show that using a VA to deliver iCST is feasible and acceptable. We have also identified design requirements for the VA to effectively provide iCST, including need for personalization reflecting dementia severity and individual interests, collaboration between care partners and PLwDs, and accessible interactions to minimize frustration and distress. These findings can inform the future design of inclusive and accessible VAs.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1145/3706599.3719707
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
9.92

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article

Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia

S. Shyam Sundar, Ling Qiu, Saeed Abdullah, Donna Marie Fick et al.
4 citations
AI in Service Interactions
9.92
article

Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia

S. Shyam Sundar, Ling Qiu, Saeed Abdullah, Donna Marie Fick, Ita Daryanti Saragih
article en
4 citations

Abstract

Dementia is a global public health concern, with approximately 55 million individuals worldwide currently living with it. Individual cognitive stimulation therapy (iCST) has been shown to improve quality of life for persons living with dementia (PLwDs). However, providing iCST at scale remains a serious challenge, specifically as it can add considerable burden on care partners. This project focuses on a voice assistant (VA) to support care partners in delivering iCST. We developed a VA prototype and conducted a qualitative study with care partners (N=5). Our preliminary findings show that using a VA to deliver iCST is feasible and acceptable. We have also identified design requirements for the VA to effectively provide iCST, including need for personalization reflecting dementia severity and individual interests, collaboration between care partners and PLwDs, and accessible interactions to minimize frustration and distress. These findings can inform the future design of inclusive and accessible VAs.

Vol. 2025
Pennsylvania State University (US), Sungkyunkwan University (KR)
Ministry of Science and ICT, South Korea, National Institute on Aging
Reduced inequalities
Openalex Percentile: Top 2%
AI in Service Interactions
9.92
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