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首页> 外文期刊>Journal of Computer Assisted Learning >Presentation Trainer: what experts and computers can tell about your nonverbal communication
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Presentation Trainer: what experts and computers can tell about your nonverbal communication

机译:Presentation Trainer:专家和计算机可以告诉您有关非语言交流的信息

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摘要

The ability to present effectively is essential for professionals; therefore, oral communication courses have become part of the curricula for higher education studies. However, speaking in public is still a challenge for many graduates. To tackle this problem, driven by the recent advances in computer vision techniques and prosody analysis, multimodal tools have been designed to support the development of public speaking skills. One of these tools is the Presentation Trainer, a research prototype able to provide learners with real-time feedback on a set of nonverbal communication aspects. Despite initial positive evaluations, the application still lacks grounding in a valid assessment model for nonverbal communication aspects in the context of presentations. To come up with such a model, we conducted semi-structured interviews with experts in the public speaking domain. Furthermore, the objective of these interviews was also to have a formative evaluation of the Presentation Trainer, analysing how it suits with common practices for teaching and learning public speaking skills. The results of this study identify 131 nonverbal communication practices that affect the quality of a presentation and summarize experts' points of view regarding multimodal public speaker instructors.
机译:有效表达的能力对专业人员至关重要;因此,口语交流课程已成为高等教育课程的一部分。但是,在公共场合演讲仍然是许多毕业生面临的挑战。为了解决这个问题,在计算机视觉技术和韵律分析的最新进展的推动下,设计了多模式工具来支持公共演讲技能的发展。这些工具之一是Presentation Trainer,这是一个研究原型,能够为学习者提供有关非语言交流方面的实时反馈。尽管进行了初步的积极评估,但该应用程序仍缺乏针对演示文稿中非语言交流方面的有效评估模型的基础。为了提出这样一个模型,我们对公众演讲领域的专家进行了半结构化访谈。此外,这些访谈的目的还在于对Presentation Trainer进行形成性评估,分析其如何与教与学公共演讲技巧的通用做法相适应。这项研究的结果确定了131种非语言交流实践,这些实践影响了演讲的质量,并总结了专家对多模式公共演讲者教练的观点。

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