This study is among the first to develop different prototypes of generative AI (GenAI) chatbots powered by GPT 4 to communicate hurricane preparedness information to diverse residents. Drawing from the Computers Are Social Actors (CASA) paradigm and the literature on disaster vulnerability and cultural tailoring, this study conducted a between-subjects experiment with 441 Black, Hispanic, and Caucasian residents of Florida. A computational analysis of chat logs (N = 7,848) shows that anthropomorphism and personalization are key communication topics in GenAI chatbot-user interactions. SEM results (N = 441) suggest that GenAI chatbots varying in tone formality and cultural tailoring significantly predict bot perceptions and, subsequently, hurricane preparedness outcomes. These results highlight the potential of using GenAI chatbots to improve diverse communities' disaster preparedness.

翻译：本研究率先开发了基于GPT 4的多种生成式人工智能（GenAI）聊天机器人原型，旨在向不同族裔居民传递飓风防范信息。基于"计算机即社会行动者"（CASA）范式以及灾害脆弱性与文化定制相关文献，本研究对佛罗里达州441名非裔、西班牙裔及白人居民开展了一项组间实验。对7848条聊天记录的计算机分析表明，拟人化与个性化是GenAI聊天机器人-用户互动中的关键沟通主题。结构方程模型（N=441）结果显示，语气正式度与文化定制水平各异的GenAI聊天机器人能显著预测用户对机器人的感知，并进而影响飓风防范成效。这些发现揭示了运用GenAI聊天机器人提升多元社区灾害准备能力的潜力。