4.6 Article

Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French People

期刊

JOURNAL OF NEURAL ENGINEERING
卷 19, 期 2, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1741-2552/ac5c8d

关键词

affective computing; cultural influence; multimodal emotion recognition; EEG; eye movement; cross-cultural emotion recognition; deep learning

资金

  1. National Natural Science Foundation of China [61976135]
  2. SJTU Trans-Med Awards Research [WF540162605]
  3. Fundamental Research Funds for the Central Universities
  4. 111 Projects
  5. GuangCi Professorship Program of RuiJin Hospital Shanghai Jiao Tong University School of Medicine

向作者/读者索取更多资源

This study provides concrete evidence of cultural influences, different neural patterns, and in-group advantage phenomenon in emotion recognition among Chinese, German, and French individuals.
Objective. Cultures have essential influences on emotions. However, most studies on cultural influences on emotions are in the areas of psychology and neuroscience, while the existing affective models are mostly built with data from the same culture. In this paper, we identify the similarities and differences among Chinese, German, and French individuals in emotion recognition with electroencephalogram (EEG) and eye movements from an affective computing perspective. Approach. Three experimental settings were designed: intraculture subject dependent, intraculture subject independent, and cross-culture subject independent. EEG and eye movements are acquired simultaneously from Chinese, German, and French subjects while watching positive, neutral, and negative movie clips. The affective models for Chinese, German, and French subjects are constructed by using machine learning algorithms. A systematic analysis is performed from four aspects: affective model performance, neural patterns, complementary information from different modalities, and cross-cultural emotion recognition. Main results. From emotion recognition accuracies, we find that EEG and eye movements can adapt to Chinese, German, and French cultural diversities and that a cultural in-group advantage phenomenon does exist in emotion recognition with EEG. From the topomaps of EEG, we find that the gamma and beta bands exhibit decreasing activities for Chinese, while for German and French, theta and alpha bands exhibit increasing activities. From confusion matrices and attentional weights, we find that EEG and eye movements have complementary characteristics. From a cross-cultural emotion recognition perspective, we observe that German and French people share more similarities in topographical patterns and attentional weight distributions than Chinese people while the data from Chinese are a good fit for test data but not suitable for training data for the other two cultures. Significance. Our experimental results provide concrete evidence of the in-group advantage phenomenon, cultural influences on emotion recognition, and different neural patterns among Chinese, German, and French individuals.

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