聊天机器人
对话
可用性
计算机科学
心理学
医学教育
医学
人工智能
人机交互
沟通
作者
Friederike Holderried,Christian Stegemann–Philipps,Lea Herschbach,Julia-Astrid Moldt,Andrew Nevins,Jan Griewatz,Martin Holderried,Anne Herrmann‐Werner,Teresa Festl‐Wietek,Moritz Mahling
摘要
Our data showed that LLMs, such as GPT, can provide a simulated patient experience and yield a good user experience and a majority of plausible answers. Our analysis revealed that GPT-provided answers use either explicit script information or are based on available information, which can be understood as abductive reasoning. Although rare, the GPT-based chatbot provides implausible information in some instances, with the major tendency being socially desirable instead of medically plausible information.
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