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Summary of Tailoring Generative Ai Chatbots For Multiethnic Communities in Disaster Preparedness Communication: Extending the Casa Paradigm, by Xinyan Zhao et al.


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

by Xinyan Zhao, Yuan Sun, Wenlin Liu, Chau-Wai Wong

First submitted to arxiv on: 12 Jun 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The study develops generative artificial intelligence (GenAI) chatbots powered by GPT-4 to communicate hurricane preparedness information to diverse residents in Florida. The chatbots were designed to vary in tone formality and cultural tailoring, with the goal of improving perceptions of their friendliness and credibility among Black, Hispanic, and Caucasian residents. A between-subjects experiment was conducted with 441 participants, revealing significant influences on perceived friendliness and credibility, which in turn relate to hurricane preparedness outcomes. This study highlights the potential of GenAI chatbots for improving diverse communities’ disaster preparedness.
Low GrooveSquid.com (original content) Low Difficulty Summary
This study makes AI chatbots that help people prepare for hurricanes by talking to them about safety. The chatbots are special because they can sound different depending on who is talking to them. Scientists tested these chatbots with 441 people from different backgrounds and found out that how the chatbot sounds affects whether people trust it or not. This matters because if people trust the chatbot, they might take steps to prepare for a hurricane. The study shows that AI chatbots can help make sure more people are prepared for emergencies.

Keywords

* Artificial intelligence  * Gpt