在人机交互中的情感模仿分析的可行性研究
Herag Arabian1, Tamer Abdulbaki Alshirbaji1,2, Ashish Bhave3,4
1Institute of Technical Medicine (ITeM), Furtwangen University, 78054, Villingen-Schwenningen, Germany.
Scientific reports
|January 31, 2025
概括
这项研究开发了一个数字镜子系统,以帮助个人改善情绪表达,以改善社会互动. 该系统显示出治疗应用的前景,特别是对于自闭症谱系障碍患者.
科学领域:
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
- 人与计算机的交互
背景情况:
- 越来越受欢迎的健康应用程序的福祉.
- 情绪智能是社会互动和神经感官健康的关键.
- 需要工具来帮助情绪识别和表达.
研究的目的:
- 开发和测试一种闭环反系统,通过面部表情仿真来进行情感投影.
- 研究该系统对治疗应用的可行性,特别是对于自闭症谱系障碍患者.
- 提高情绪智力和社交互动技能.
主要方法:
- 一个数字镜子系统显示动画化身表达基本情绪.
- 用户模仿化身表情,使用自定义情绪识别模型分析面部反.
- 在8名参与者身上进行了可行性测试,他们有6种基本情绪和中性表达.
主要成果:
- 参与者以85.40%的准确度识别了情绪.
- 参与者以46.67%的准确度模仿表达方式.
- 解决了最初的"惊喜"表达缺陷,通过模型改进提高了~30%的性能.
结论:
- 该系统显示了增强情绪技能发展和福祉的潜力.
- 数字镜子方法显示了治疗干预措施的前景.
- 需要通过更大的研究进一步验证.
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