一种用于产生情感图像的快速工程方法,用于心理学研究
Yuqing Lu1,2, Xin Hu3, Dan Zhang1,2
1Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
Affective science
|November 4, 2025
概括
人工智能 (AI) 图像生成为心理研究创建情感图像数据集提供了一个可扩展的方法. 这种人工智能生成的情感图像集 (AGEIS) 能够有效地引起目标情绪,并且看起来真实.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 标准化的图像数据集对于情感研究至关重要.
- 创建数据集的传统方法是劳动密集型的,范围有限.
- 由人工智能驱动的文本到图像合成 (TIS) 为产生情感图像提供了一个潜在的解决方案.
研究的目的:
- 介绍和评估一种基于人工智能的创新程序,用于为心理学研究生成情感图像.
- 创建一个人工智能生成的情感图像集 (AGEIS),涵盖七个不同的情感类别.
- 评估人工智能生成的情感图像的有效性和真实性.
主要方法:
- 开发了一种涉及种子快速形成,快速集合生成和TIS的新程序.
- 利用像Midjourney和ChatGPT这样的AI工具来生成图像.
- 进行人体评估,以评估情感诱导和生成图像的真实性.
主要成果:
- 在AGEIS中,人工智能生成的图像有效地和具体地诱导了目标情绪.
- AGEIS图像被认为与真实照片相比相当真实.
- 描绘厌恶和温柔的图像更频繁地被认为是人工智能生成的.
结论:
- 拟议的人工智能程序提供了一种具有成本效益和可扩展的方法来生成情感图像.
- 这种方法可以促进情绪研究的大规模和纵向研究.
- 人工智能生成的图像对推进心理学研究方法有很大的潜力.
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