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在数字技术环境下对博物馆参观者的情绪测量和特征的研究
Ting Zhang1, Zipeng Qi1,2, Weiwei Guan3
1Economics and Management School, Wuhan University, Wuhan, Hubei, China.
Frontiers in human neuroscience
|September 21, 2023
概括
博物馆中的数字技术可以使用脑电图 (EEG) 信号和PAD情感模型实时测量. 这种方法准确地分类了访客的情绪,揭示了人口统计学差异.
科学领域:
- 神经科学是一个神经科学.
- 人与计算机的交互
- 博物馆研究 博物馆研究
背景情况:
- 博物馆的数字技术整合旨在增强参观者体验.
- 了解访客对数字装置的情绪反应对于有效的设计至关重要.
- 实时情绪测量为用户参与提供了客观的见解.
研究的目的:
- 用数字技术调查博物馆参观者的情感体验.
- 为了确定这些情绪体验是否可以准确地实时测量.
- 描述这些数字情感体验的性质.
主要方法:
- 利用电脑电图 (EEG) 信号来捕捉生理反应.
- 使用PAD (快乐-激发-主导) 情感模型进行情感评估.
- 在宁波市天馆博物馆进行了准实验测量.
主要成果:
- 支持矢量机 (SVM) 算法 (线性,多项式,高斯核) 在分类情绪倾向方面取得了超过72%的准确性.
- 使用EEG和PAD模型证明了实时数字情绪体验测量的可行性和可靠性.
- 在不同的人口参观者群体中确定了不同的情绪倾向特征.
结论:
- 实时EEG和PAD模型分析提供了一种可靠的方法来评估博物馆中的数字情感体验.
- 这些发现支持对游客情绪的准确分类,为博物馆设计和参与策略提供了有价值的数据.
- 这项研究使人们能够更深入地了解数字技术如何影响各种访客人口统计数据的情绪反应.
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