Tailoring Generative AI Chatbots for Multiethnic Communities in Disaster Preparedness Communication: Extending the CASA Paradigm

June 12, 2024 ยท Declared Dead ยท ๐Ÿ› J. Comput. Mediat. Commun.

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Authors Xinyan Zhao, Yuan Sun, Wenlin Liu, Chau-Wai Wong arXiv ID 2406.08411 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.HC Citations 12 Venue J. Comput. Mediat. Commun. Last Checked 5 months ago
Abstract
This study is among the first to develop different prototypes of generative artificial intelligence (GenAI) chatbots powered by GPT-4 to communicate hurricane preparedness information to diverse residents. Drawing from the Computers Are Social Actors paradigm and the literature on disaster vulnerability and cultural tailoring, we conducted a between-subjects experiment with 441 Black, Hispanic, and Caucasian residents of Florida. Our results suggest that GenAI chatbots varying in tone formality and cultural tailoring significantly influence perceptions of their friendliness and credibility, which, in turn, relate to hurricane preparedness outcomes. These results highlight the potential of using GenAI chatbots to improve diverse communities' disaster preparedness.
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