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UID:pretalx-pyconde-pydata-2024-BJUQ9E@pretalx.com
DTSTART;TZID=CET:20240424T144500
DTEND;TZID=CET:20240424T151500
DESCRIPTION:This study explores the efficacy of chatbots as dialogical argu
 mentation systems for behaviour change\, focusing on vaccine hesitancy dur
 ing the COVID-19 pandemic. A Python-based chatbot\, developed in 2021\, en
 gaged in argumentative dialogues with users reluctant to get vaccinated\, 
 resulting in a 20% positive change in participants' stances. As natural la
 nguage processing technologies\, like ChatGPT\, advance\, it is crucial to
  compare them to traditional expert systems. Prior studies have shown Chat
 GPT's reliability in addressing vaccine hesitancy. This research compares 
 our chatbot with ChatGPT\, evaluating persuasiveness through crowdsourced 
 participants. The findings inform resource allocation decisions\, guiding 
 the choice between domain-specific expert systems and enhancing versatile 
 models like ChatGPT. Understanding comparative strengths aids in preventin
 g the dissemination of misinformation in behaviour change contexts.
DTSTAMP:20260722T195647Z
LOCATION:A1
SUMMARY:Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGP
 T to an expert system - which one is more convincing? - Dr. Lisa Andreevna
  Chalaguine
URL:https://pretalx.com/pyconde-pydata-2024/talk/BJUQ9E/
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