Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study
BackgroundMany members of Black American communities, faced with the high prevalence of Alzheimer disease and related dementias (ADRD) within their demographic, find themselves taking on the role of informal caregivers. Despite being the primary individuals responsible for th...
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| Format: | Article |
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JMIR Publications
2025-01-01
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| Series: | JMIR Aging |
| Online Access: | https://aging.jmir.org/2025/1/e60566 |
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| author | Cristina Bosco Ege Otenen John Osorio Torres Vivian Nguyen Darshil Chheda Xinran Peng Nenette M Jessup Anna K Himes Bianca Cureton Yvonne Lu Carl V Hill Hugh C Hendrie Priscilla A Barnes Patrick C Shih |
| author_facet | Cristina Bosco Ege Otenen John Osorio Torres Vivian Nguyen Darshil Chheda Xinran Peng Nenette M Jessup Anna K Himes Bianca Cureton Yvonne Lu Carl V Hill Hugh C Hendrie Priscilla A Barnes Patrick C Shih |
| author_sort | Cristina Bosco |
| collection | DOAJ |
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BackgroundMany members of Black American communities, faced with the high prevalence of Alzheimer disease and related dementias (ADRD) within their demographic, find themselves taking on the role of informal caregivers. Despite being the primary individuals responsible for the care of individuals with ADRD, these caregivers often lack sufficient knowledge about ADRD-related health literacy and feel ill-prepared for their caregiving responsibilities. Generative AI has become a new promising technological innovation in the health care domain, particularly for improving health literacy; however, some generative AI developments might lead to increased bias and potential harm toward Black American communities. Therefore, rigorous development of generative AI tools to support the Black American community is needed.
ObjectiveThe goal of this study is to test Lola, a multimodal mobile app, which, by relying on generative AI, facilitates access to ADRD-related health information by enabling speech and text as inputs and providing auditory, textual, and visual outputs.
MethodsTo test our mobile app, we used the cognitive walk-through methodology, and we recruited 15 informal ADRD caregivers who were older than 50 years and part of the Black American community living within the region. We asked them to perform 3 tasks on the mobile app (ie, searching for an article on brain health, searching for local events, and finally, searching for opportunities to participate in scientific research in their area), then we recorded their opinions and impressions. The main aspects to be evaluated were the mobile app’s usability, accessibility, cultural relevance, and adoption.
ResultsOur findings highlight the users’ need for a system that enables interaction with different modalities, the need for a system that can provide personalized and culturally and contextually relevant information, and the role of community and physical spaces in increasing the use of Lola.
ConclusionsOur study shows that, when designing for Black American older adults, a multimodal interaction with the generative AI system can allow individuals to choose their own interaction way and style based upon their interaction preferences and external constraints. This flexibility of interaction modes can guarantee an inclusive and engaging generative AI experience. |
| format | Article |
| id | doaj-art-b58a733a453a40b9b72cc123ecd14bbf |
| institution | Kabale University |
| issn | 2561-7605 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Aging |
| spelling | doaj-art-b58a733a453a40b9b72cc123ecd14bbf2025-01-08T19:00:34ZengJMIR PublicationsJMIR Aging2561-76052025-01-018e6056610.2196/60566Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability StudyCristina Boscohttps://orcid.org/0000-0002-1674-1861Ege Otenenhttps://orcid.org/0000-0001-9887-5603John Osorio Torreshttps://orcid.org/0009-0003-6778-8453Vivian Nguyenhttps://orcid.org/0009-0003-4495-9045Darshil Chhedahttps://orcid.org/0009-0007-7338-1819Xinran Penghttps://orcid.org/0009-0007-3153-9008Nenette M Jessuphttps://orcid.org/0000-0001-6026-7899Anna K Himeshttps://orcid.org/0009-0002-7768-1556Bianca Curetonhttps://orcid.org/0009-0000-0858-0909Yvonne Luhttps://orcid.org/0000-0002-1345-4541Carl V Hillhttps://orcid.org/0000-0002-7917-1341Hugh C Hendriehttps://orcid.org/0000-0002-7591-3176Priscilla A Barneshttps://orcid.org/0000-0002-4010-2672Patrick C Shihhttps://orcid.org/0000-0003-2460-0468 BackgroundMany members of Black American communities, faced with the high prevalence of Alzheimer disease and related dementias (ADRD) within their demographic, find themselves taking on the role of informal caregivers. Despite being the primary individuals responsible for the care of individuals with ADRD, these caregivers often lack sufficient knowledge about ADRD-related health literacy and feel ill-prepared for their caregiving responsibilities. Generative AI has become a new promising technological innovation in the health care domain, particularly for improving health literacy; however, some generative AI developments might lead to increased bias and potential harm toward Black American communities. Therefore, rigorous development of generative AI tools to support the Black American community is needed. ObjectiveThe goal of this study is to test Lola, a multimodal mobile app, which, by relying on generative AI, facilitates access to ADRD-related health information by enabling speech and text as inputs and providing auditory, textual, and visual outputs. MethodsTo test our mobile app, we used the cognitive walk-through methodology, and we recruited 15 informal ADRD caregivers who were older than 50 years and part of the Black American community living within the region. We asked them to perform 3 tasks on the mobile app (ie, searching for an article on brain health, searching for local events, and finally, searching for opportunities to participate in scientific research in their area), then we recorded their opinions and impressions. The main aspects to be evaluated were the mobile app’s usability, accessibility, cultural relevance, and adoption. ResultsOur findings highlight the users’ need for a system that enables interaction with different modalities, the need for a system that can provide personalized and culturally and contextually relevant information, and the role of community and physical spaces in increasing the use of Lola. ConclusionsOur study shows that, when designing for Black American older adults, a multimodal interaction with the generative AI system can allow individuals to choose their own interaction way and style based upon their interaction preferences and external constraints. This flexibility of interaction modes can guarantee an inclusive and engaging generative AI experience.https://aging.jmir.org/2025/1/e60566 |
| spellingShingle | Cristina Bosco Ege Otenen John Osorio Torres Vivian Nguyen Darshil Chheda Xinran Peng Nenette M Jessup Anna K Himes Bianca Cureton Yvonne Lu Carl V Hill Hugh C Hendrie Priscilla A Barnes Patrick C Shih Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study JMIR Aging |
| title | Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study |
| title_full | Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study |
| title_fullStr | Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study |
| title_full_unstemmed | Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study |
| title_short | Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study |
| title_sort | designing a multimodal and culturally relevant alzheimer disease and related dementia generative artificial intelligence tool for black american informal caregivers cognitive walk through usability study |
| url | https://aging.jmir.org/2025/1/e60566 |
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