Tailoring Generative AI Chatbots for Multiethnic Communities in Disaster Preparedness Communication: Extending the CASA Paradigm
June 12, 2024 ยท Declared Dead ยท ๐ 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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