“I don’t see anything specifically about Black/African Americans.” Testing an Alzheimer-specific generative AI tool tailored for African American/Black communities

Low levels of health literacy concerning Alzheimer's Disease and related dementias (ADRD) impact African American/Black communities access to appropriate ADRD care. Additionally, a legacy of mistrust in medical research due to systemic racism, has resulted in insufficient participation in ADRD clinical trials among African American/Black adults. This study explores the potential of generative AI to improve ADRD literacy and encourage participation in clinical trials among African American/Black older adults. We designed a mobile health intervention featuring AI-driven conversational agents - a chatbot and a voice assistant - specifically developed for this population. We tested the quality of the intervention using heuristics methodology adapted to the target population along with inputs from African American/ Black medical professionals and UX designers. Key findings highlight the unique needs of the African American/Black communities for culturally relevant content that is accessible to users with varying language levels and tailored to users’ geographical location. Concerning the interaction, high levels of personalization and control over the interaction can promote the use of the tool, by minimizing complexity and maximizing accessibility. These findings show the novel contribution offered by our study in the domain of designing health technology with generative AI, particularly LLMS, for African American/Black communities.

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Institutions

Publication Details

Journal
ACM Transactions on Computing for Healthcare
Published
2025-01-23
DOI
https://doi.org/10.1145/3712295
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

“I don’t see anything specifically about Black/African Americans.” Testing an Alzheimer-specific generative AI tool tailored for African American/Black communities

Priscilla A. Barnes, Patrick C. Shih, Ruixiang Han, Nenette M. Jessup et al.
2 citations
ACM Transactions on Computing for Healthcare
Artificial Intelligence in Healthcare and Education
1.31
article

“I don’t see anything specifically about Black/African Americans.” Testing an Alzheimer-specific generative AI tool tailored for African American/Black communities

Priscilla A. Barnes, Patrick C. Shih, Ruixiang Han, Nenette M. Jessup, Hugh C. Hendrie, Vivian Nguyen, Bianca Cureton, Cristina Bosco, Carl V. Hill, Fereshtehossadat Shojaei, Chelsea Simpkins, Alec Andrew Theisz, Anna K Himes, John Osorio Torres, Darshil Chheda, Xinran Peng, Jenny Lin, Yvonne Lu, Nawal Z. Waseem, Haoru Song
article en
2 citations

Abstract

Low levels of health literacy concerning Alzheimer's Disease and related dementias (ADRD) impact African American/Black communities access to appropriate ADRD care. Additionally, a legacy of mistrust in medical research due to systemic racism, has resulted in insufficient participation in ADRD clinical trials among African American/Black adults. This study explores the potential of generative AI to improve ADRD literacy and encourage participation in clinical trials among African American/Black older adults. We designed a mobile health intervention featuring AI-driven conversational agents - a chatbot and a voice assistant - specifically developed for this population. We tested the quality of the intervention using heuristics methodology adapted to the target population along with inputs from African American/ Black medical professionals and UX designers. Key findings highlight the unique needs of the African American/Black communities for culturally relevant content that is accessible to users with varying language levels and tailored to users’ geographical location. Concerning the interaction, high levels of personalization and control over the interaction can promote the use of the tool, by minimizing complexity and maximizing accessibility. These findings show the novel contribution offered by our study in the domain of designing health technology with generative AI, particularly LLMS, for African American/Black communities.

ACM Transactions on Computing for Healthcare
Alzheimer's Association (US), Indiana University Health (US), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
1.31
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