根据个性特征,预测识别深度假冒的自我有效性
Juneman Abraham1, Heru Alamsyah Putra1, Tommy Prayoga2
1Psychology Department, Faculty of Humanities, Bina Nusantara University, Jakarta, 11480, Indonesia.
F1000Research
|December 15, 2023
概括
某些人格特质,如诚实-谦卑和可接受性,影响人们在发现复杂的人工智能生成的深度假冒时的信心. 了解这些特征可以提高深度假冒检测效率.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 深度假冒技术正在迅速发展,使检测变得越来越具有挑战性.
- 人类识别深度假冒的能力越来越令人担忧.
- 个人自我效能与深度假冒检测能力有关.
研究的目的:
- 研究个性特征对识别深度假冒的自我效能的影响.
- 识别特定的人格特征,预测检测人工智能生成媒体的能力.
- 了解深度虚假辨别的心理基础.
主要方法:
- 使用了预测性相关设计.
- 采用多重线性回归分析.
- 样本包括印度尼西亚的200名年轻成年人.
主要成果:
- 诚实-谦卑的特质负面预测了深度假冒检测的有效性.
- 可接受性特征正面预测了深度假冒检测效率.
- 情绪化,外向,良心和开放性并没有显著预测有效性.
结论:
- 具体的个性特征,即诚实-谦卑和可接受性,是深度假冒检测中自我有效性的重要预测因素.
- 并非所有人格特征都在辨别人工智能产生的内容时具有同等的影响力.
- 这些发现有助于理解人类因素在打击复杂的数字操纵方面的作用.
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