mlsanityData to 14 Oct 2026

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

arXiv 2406.08411 ↗First posted 12 Jun 2024cs.CL cs.AI cs.HCcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 92 references that are in the map. First posted on arXiv 12 Jun 2024.

Builds on

3 of 92 references.

References · 3

  1. 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
  2. 2023Can Large Language Models Transform Computational Social Science?cited by 250
  3. 2019How should my chatbot interact? A survey on human-chatbot interaction designcited by 56

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advicecited by 1