基于人工智能的面部分析与自我报告:一项试点研究,使用了手术前心理测试的见解
Izabela Mamcarz1, Marcelina Podleśna2, Emanuela Bis2
1Simulation Laboratory for Patient Safety, Chair of Medical Simulation, Medical University of Lublin, Lublin, Poland.
概括
人工智能显示出美学程序规划的潜力,但人工智能面部评估与心理资料没有很强的相关性. 人工智能不应该仅仅指导审美决策.
科学领域:
- 医学美学 医学美学
- 人工智能的人工智能
- 心理学 心理学 心理学
背景情况:
- 审美手术很受欢迎,但由于不切实际的美容标准,可能会让自尊心低的人失望.
- 人工智能 (AI) 为美容医学中的治疗前模拟提供了客观评估潜力.
- 了解心理形象和AI面部评估之间的相互作用至关重要.
研究的目的:
- 探索心理形象和人工智能驱动的面部评估之间的关系.
- 将AI对面部特征的评估与自我评估进行比较.
主要方法:
- 47名参与者完成了心理测试 (TIPI-PL,SWLS,罗森伯格的自尊度量表,自我认知度量表).
- 一个人工智能神经网络分析了面部图像的7个特征:吸引力,能力,宁静,快乐,主导,健康和可信度.
- 人工智能和自我评估之间的相关性和比较使用Pearson的r和Mann-Whitney U测试进行了分析.
主要成果:
- 人工智能评价女性的面孔显著更有吸引力,休息,快乐和值得信赖.
- 一个趋势表明了"有能力"和"休息"AI结果和TIPI外向之间的关联.
- 在心理状态和AI面部评估之间没有发现其他显著的相关性.
结论:
- 人工智能对医疗应用具有前景,但在评估外观和心理因素之间的复杂关系方面存在局限性.
- 虽然自我感知量表与心理测试相关,但人工智能评分通常低于自我评估.
- 人工智能应该谨慎使用,而不是作为规划美学程序的唯一工具.
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