Lola by CARE
Assessed for usability and quality
App Summary
App Screenshots








Detailed Description
Functionality & Mechanism
Developed by the Collaborative for Aging Research and Engagement (CARE), Lola is a multimodal mobile application designed to improve access to health information on Alzheimer's Disease and Related Dementias (ADRD). The system integrates a generative AI chatbot that accepts speech and text inputs, providing auditory, textual, and visual outputs. Core modules deliver educational content on ADRD symptoms and prevention, a repository of brain health articles, a directory of local community events, and a locator for clinical research opportunities.
Evidence & Research Context
- A cognitive walk-through usability study (N=15) evaluated the app's design with informal Black American caregivers of individuals with ADRD.
- The study highlighted the utility of a multimodal interface, allowing individuals to select interaction methods (speech, text) based on personal preference and external context.
- Participants emphasized the need for personalized, culturally, and contextually relevant information to enhance engagement and system adoption.
- Findings indicated that linking the digital tool to physical community spaces and local events is a critical factor for increasing its use.
Intended Use & Scope
This application is intended for Black American informal caregivers and community members seeking information on Alzheimer's Disease and Related Dementias. Its primary utility is as a culturally relevant educational and community resource hub to improve health literacy and facilitate connection to local support. The tool does not provide medical advice or diagnosis and is not a substitute for professional clinical consultation.
Studies & Publications
Peer-reviewed research associated with this app.
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
Bosco et al. (2025) · JMIR Aging
Users valued the app's culturally-relevant personalized information and community features.
App Information
Developer
Indiana UniversityCategory
Evidence Profile
Assessed for usability and quality
Platforms
Updated
Oct 2024
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