Emory University
This study is testing an artificial intelligence (AI) chatbot designed to help adults at risk for type 2 diabetes adopt healthier lifestyles. The chatbot provides personalized and culturally tailored guidance on nutrition, physical activity, resistance training, and goal setting. About 30 adults aged 18 to 55 years will use the chatbot for 6 weeks and provide feedback through surveys and interviews. Researchers will evaluate whether the chatbot is easy to use, helpful, and trustworthy, and whether data about changes in health behaviors can be feasibly collected, in order to inform larger future studies to improve diabetes prevention.
Type 2 diabetes continues to be a major public health concern, with growing evidence that individuals with normal body weight may also be at increased risk of developing prediabetes and type 2 diabetes. Existing diabetes prevention programs have primarily targeted individuals with overweight or obesity, creating a need for innovative prevention approaches tailored to younger, normal-weight, and culturally diverse populations. This study will evaluate a novel artificial intelligence (AI)-powered chatbot designed to deliver personalized, culturally tailored diabetes prevention support. The inte…
Inclusion Criteria: * Have at least one of the following diabetes risk factors: * HbA1C of 5.7-6.4% * BMI of 18.5 - 24.9 kg/m\^2 * Fasting plasma glucose 100 - 125 mg/dL * Family history of type 2 diabetes in first-degree relatives (parents, siblings, or children) * History of gestational diabetes * Membership in a high-risk ethnic group (African American, Hispanic, Native American, Asian American, Pacific Islander) * Access to a smartphone or computer with internet * English reading and writing proficiency * Be willing to use the chatbot at least 3 times per week * Be able to pr…
Participants will use a generative AI chatbot designed to provide personalized, evidence-based diabetes prevention support. The chatbot delivers culturally tailored nutrition and physical activity recommendations, with an emphasis on high-protein dietary strategies, resistance training, goal setting, motivational support, and healthy lifestyle behaviors. Participants will be encouraged to interact with the chatbot at least three times per week during the 6-week study period. Recommendations are generated using expert-validated diabetes prevention content and personalized according to participant characteristics and preferences.
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