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基于模拟微笑模型的中国成人表情图库制作
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Abstract:
基于模拟微笑模型制作中国成人微笑表情图库，首先采集86名大学生的微笑表情图片，另招募35名大学生评定采集图片的类别和强度。然后采用ERP技术在电生理层面探究个体识别图库时的有效性。最后在信任博弈任务中探究图库的适用性。得到微笑表情图片共202张，每张图片的认同率均达标，且具有相应的情绪强度。电生理层面和行为层面引起的结果各自均存在显著差异。结果表明，制作的中国成人微笑表情图库具有较高的信效度，可作为测量工具。
Creating a Chinese adult smile expression image database based on the simulation of smiles model, initially, 86 university students’ smiling expression photos were collected, and the additional 35 university students were recruited to assess the categories and intensity of the collected images. Subsequently, Event-Related Potentials (ERPs) technology was employed to investigate the effectiveness at the electrophysiological level when individuals recognize the image database. Finally, the applicability of the database was explored in a trust game task. A total of 202 smiling expression images were obtained, with each image meeting the standard recognition rate and having corresponding emotional intensity. The results, both on the electrophysiological and behavioral levels, each have significant differences. The findings indicate that the constructed Chinese adult smile expression database has high reliability and validity and can be used as a measurement tool.
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