在聊天中比较情绪GPT答案和人类对 Stack Overflow 编码问题的答案
Somayeh Fatahi1, Julita Vassileva1, Chanchal K Roy1
1Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Frontiers in artificial intelligence
|October 1, 2024
概括
像ChatGPT这样的大型语言模型比人类表现出更积极的情绪,他们表达了更广泛的情绪范围,包括愤怒和厌恶. 这种情感分歧会影响人工智能与人类的互动,尤其是在教育领域.
科学领域:
- 人工智能 (AI) 是一种人工智能.
- 自然语言处理 (NLP) 是一种自然语言处理.
背景情况:
- 生成型人工智能和NLP已经产生了像ChatGPT这样的大型语言模型 (LLM).
- 这些人工智能模型协助程序员,并显示出作为教育工具的潜力.
- 人工智能产生的反应的准确性存在担忧.
研究的目的:
- 将ChatGPT响应的情感内容与人类响应进行比较.
- 分析人工智能与人类沟通中的情绪基调差异.
主要方法:
- 对2000个堆溢出 (SO) 问题及其答案进行了全面分析.
- 研究了人工智能 (ChatGPT) 和人类反应的情感方面.
主要成果:
- 聊天GPT的反应通常比人类的反应更为积极.
- 人类的回答表现出更广泛的情绪范围,包括愤怒和厌恶,与ChatGPT不同.
- 在愤怒,厌恶和快乐的表达方面发现了显著的差异.
结论:
- 人工智能和人类反应之间存在着明显的情绪分歧.
- 聊天GPT显示一个统一的积极的基调,而人类显示更大的情绪变化.
- 需要进一步研究人工智能与人类交互中的情感内容,以用于教育应用.
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