[2406.08411] Tailoring Generative AI Chatbots for Multiethnic Communities in Disaster Preparedness Communication: Extending the CASA Paradigm
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Computer Science > Computation and Language

arXiv:2406.08411 (cs)
[Submitted on 12 Jun 2024 (v1), last revised 2 Feb 2025 (this version, v2)]

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

Authors:Xinyan Zhao, Yuan Sun, Wenlin Liu, Chau-Wai Wong
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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.
Comments: Accepted for Publication in Journal of Computer-Mediated Communication
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
MSC classes: 68U15
Cite as: arXiv:2406.08411 [cs.CL]
  (or arXiv:2406.08411v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2406.08411
Related DOI: https://doi.org/10.1093/jcmc/zmae022

Submission history

From: Chau-Wai Wong [view email]
[v1] Wed, 12 Jun 2024 16:57:28 UTC (650 KB)
[v2] Sun, 2 Feb 2025 03:43:34 UTC (465 KB)
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