GPT-4大型语言模型的情感智能
Gleb D Vzorin1,2, Alexey M Bukinich1,3, Anna V Sedykh1
1Lomonosov Moscow State University, Russia.
Psychology in Russia : state of the art
|November 18, 2024
概括
这项研究对GPT-4进行了评估.
科学领域:
- 人工智能的人工智能
- 心理学 心理学 心理学
- 认知科学 认知科学
背景情况:
- 像GPT-4这样的先进AI模型表现出高智能性能.
- 情绪智能及其在AI中的机制仍然未被充分探索.
- 评估AI的情感能力对于理解其能力至关重要.
研究的目的:
- 通过使用Mayer-Salovey-Caruso模型在不同领域评估GPT-4的情绪智能.
- 确定GPT-4的答案与其解释之间的一致性.
- 调查GPT-4的情绪反应中潜在的推理和解释模式.
主要方法:
- 使用了俄罗斯版本的梅耶尔-萨洛维-卡鲁索情绪智力测试 (MSCEIT).
- 在三个独立的聊天GPT会议中,管理MSCEIT部分作为GPT-4的文本提示.
- 分析了答案的准确性和分类的解释类型 (无意义的句子,关系声明,隐含的逻辑,明确的逻辑).
主要成果:
- 在理解情绪 (117-128) 和战略情绪智能 (118-122) 中,GPT-4获得了高分.
- 管理情绪的得分是平均的 (103-110),而利用情绪促进思维的得分是低的 (85-88).
- 正确的答案与所有解释类型相关;错误的答案只使用无意义的句子或明确的逻辑,反映儿童发展模式.
结论:
- GPT-4证明了在情绪识别和管理方面的熟练程度.
- 该模型缺乏对情绪体验的深度反射分析和情绪的动机方面.
- 对于正确和不正确的答案,GPT-4的解释模式显示了与人类儿童的发展相似之处.
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