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Automated social skills training with audiovisual information

机译:带有视听信息的自动化社交技能培训

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摘要

People with social communication difficulties tend to have superior skills using computers, and as a result computer-based social skills training systems are flourishing. Social skills training, performed by human trainers, is a well-established method to obtain appropriate skills in social interaction. Previous works have attempted to automate one or several parts of social skills training through human-computer interaction. However, while previous work on simulating social skills training considered only acoustic and linguistic features, human social skills trainers take into account visual features (e.g. facial expression, posture). In this paper, we create and evaluate a social skills training system that closes this gap by considering audiovisual features regarding ratio of smiling, yaw, and pitch. An experimental evaluation measures the difference in effectiveness of social skill training when using audio features and audiovisual features. Results showed that the visual features were effective to improve users' social skills.
机译:社交沟通困难的人倾向于使用计算机来掌握高级技能,因此,基于计算机的社交技能培训系统正在蓬勃发展。由人类培训师进行的社交技能培训是一种获得广泛认可的方法,可以在社交互动中获得适当的技能。先前的工作试图通过人机交互使社交技能培训的一个或几个部分自动化。然而,尽管先前在模拟社交技能训练上的工作仅考虑了听觉和语言特征,但是人类社交技能教练考虑了视觉特征(例如面部表情,姿势)。在本文中,我们创建并评估了一种社交技能培训系统,该系统通过考虑有关微笑,偏航和俯仰比例的视听功能来弥补这一差距。实验评估评估了使用音频功能和视听功能时社交技能培训效果的差异。结果表明,视觉功能可以有效提高用户的社交技能。

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