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

Ling Qiu; Ita Daryanti Saragih; Donna Marie Fick; S. Shyam Sundar; Saeed Abdullah

doi:10.1145/3706599.3719707

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

Ling Qiu
, Ita Daryanti Saragih
, Donna Marie Fick
, S. Shyam Sundar
, Saeed Abdullah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus 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.

Original language	English (US)
Title of host publication	CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9798400713958
DOIs	https://doi.org/10.1145/3706599.3719707
State	Published - Apr 26 2025
Event	2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 - Yokohama, Japan Duration: Apr 26 2025 → May 1 2025

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
Country/Territory	Japan
City	Yokohama
Period	4/26/25 → 5/1/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/3706599.3719707

Cite this

Qiu, L., Saragih, I. D., Fick, D. M., Sundar, S. S., & Abdullah, S. (2025). Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia. In CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems Article 582 (Conference on Human Factors in Computing Systems - Proceedings ). Association for Computing Machinery. https://doi.org/10.1145/3706599.3719707

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title = "Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia",

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.",

author = "Ling Qiu and Saragih, \{Ita Daryanti\} and Fick, \{Donna Marie\} and Sundar, \{S. Shyam\} and Saeed Abdullah",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 ; Conference date: 26-04-2025 Through 01-05-2025",

year = "2025",

month = apr,

day = "26",

doi = "10.1145/3706599.3719707",

language = "English (US)",

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Qiu, L, Saragih, ID, Fick, DM , Sundar, SS & Abdullah, S 2025, Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia. in CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems., 582, Conference on Human Factors in Computing Systems - Proceedings , Association for Computing Machinery, 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025, Yokohama, Japan, 4/26/25. https://doi.org/10.1145/3706599.3719707

Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia. / Qiu, Ling; Saragih, Ita Daryanti; Fick, Donna Marie et al.
CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2025. 582 (Conference on Human Factors in Computing Systems - Proceedings ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia

AU - Qiu, Ling

AU - Saragih, Ita Daryanti

AU - Fick, Donna Marie

AU - Sundar, S. Shyam

AU - Abdullah, Saeed

PY - 2025/4/26

Y1 - 2025/4/26

N2 - 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.

AB - 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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Qiu L, Saragih ID, Fick DM , Sundar SS , Abdullah S. Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia. In CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2025. 582. (Conference on Human Factors in Computing Systems - Proceedings ). doi: 10.1145/3706599.3719707

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

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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