一个用于计算人格分析的合成发言的数据集
1Head, The Functor Lab, Department of Cognitive and Brain Science, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel. yneuman@bgu.ac.il.
Scientific data
|June 13, 2024
概括
这项研究引入了基于精神动态人格维度的合成发言的新型数据集. 这种资源有助于计算人格分析和创建真实的数字人格.
科学领域:
- 计算心理学的计算心理学.
- 人工智能在社会科学中的应用
背景情况:
- 目前的计算人格分析主要使用五大模型.
- 尽管理论深度,但在计算研究中精神动力学方法的代表性不足.
研究的目的:
- 介绍一种基于精神动态人格理论的合成发言的新型数据集.
- 为了促进人格的计算研究超越五大.
- 支持创建真正的数字人物.
主要方法:
- 使用人工智能 (GPT-4) 基于精神动态维度 (抑郁,痴迷,偏执,自恋,反社会精神病患者) 生成4972个合成发言.
- 通过14个不同的测试验证数据集.
主要成果:
- 一个经过验证的合成发言数据集,代表五个精神动态人格维度.
- 演示AI能够产生理论上有基础的个性数据的能力.
结论:
- 该数据集为推进计算人格研究提供了宝贵的资源.
- 潜在的应用包括在游戏和媒体中增强数字字符真实性.
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