聊天GPT的建议被认为比专业建议专作家的建议更好
Piers Douglas Lionel Howe1, Nicolas Fay2, Morgan Saletta3
1Complex Human Data Hub, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.
Frontiers in psychology
|December 11, 2023
概括
聊天GPT 聊天 在GPT 聊天
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 像ChatGPT这样的大型语言模型 (LLM) 显示出改善人机交互的希望.
- 在LLM产生的建议的有效性,特别是在同情的背景下,仍然未被充分探索.
- 在顾问角色中的人机交互需要调查.
研究的目的:
- 为了比较人们对ChatGPT与人类咨询专作家的建议质量的看法.
- 评估人工智能产生的建议与人类产生的建议的同情心,帮助力和整体质量.
- 为了确定响应长度是否会影响人工智能产生的建议的感知质量.
主要方法:
- 从已建立的咨询专中选择了50个社会困境问题.
- 两个预先注册的在线调查涉及参与者评价人类专作家和ChatGPT的建议.
- 有控制的实验改变了响应的长度,以隔离内容的影响.
主要成果:
- 在多个指标 (平衡,完整性,同理心,乐于助人) 上,ChatGPT的建议被评为明显高于人类建议.
- 参与者无法可靠地区分ChatGPT的反应和人类的反应.
- 尽管对个人困境更喜欢人类的建议,但参与者发现人工智能产生的建议质量优越.
结论:
- 在社会困境的情况下,ChatGPT提供了明显优越的建议,与专业的人类咨询专撰稿人相比.
- 聊天GPT的建议的质量优势不是由于响应的长度.
- 虽然人工智能在建议质量方面表现出色,但人类对个人指导的偏好仍然存在,突出了微妙的人类-人工智能交互格局.
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