We conducted a series of studies to evaluate the feasibility, acceptability, and potential efficacy of an AI chatbot (HeartBot I) in increasing women's awareness and knowledge of heart attack symptoms and appropriate care-seeking behavior. The results of those studies and HeartBot I design details were published elsewhere. In brief, HeartBot I was feasible (i.e., no withdrawal from HeartBot I conversation) and accepted by women, and its interactions were significantly associated with improvements in awareness and knowledge of all heart attack outcomes. However, since HeartBot I was a rule-based chatbot, its behavior and responses were limited to content authored specifically for HeartBot I conversations. To improve HeartBot I's capacity, we incorporated all women's heart attack and relevant questions collected in our previous studies and expanded its knowledge bank to enable more educational conversations. To achieve more human-like natural and personalized conversations, we implemented a new version of HeartBot (HeartBot II) powered by an LLM, specifically gemini-2.5-flash through the Google Conversational Agents platform.
