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首页> 外文会议>European conference on computer vision >Understanding Political Communication Styles in Televised Debates via Body Movements
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Understanding Political Communication Styles in Televised Debates via Body Movements

机译：通过机身运动了解电视辩论中的政治交流风格

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Televised political debates have received much attention by scholars in political communication and social psychology who study nonverbal cues in interpersonal communication and their impact on candidate evaluations. An abundance of political multimedia and new platforms have required leaders to develop an effective and unique communication "style" which may rely on nonverbal devices such as face and body. Emotions conveyed by expressive gestures of candidates during debates have been shown to elicit stronger reactions from the public than rhetorical statements alone. Candidates, for example, may exploit assertive and aggressive gestures to communicate their confidence and attract supporters. Existing studies, however, are based largely on manual coding of human gestures, which may not be scalable or reproducible. The main objectives of our paper are to investigate the role of body movements of candidates using a systematic and automated approach as well as understand the context and effects of gestures. For this analysis, we collected a dataset of political debate videos from the 2020 Democratic presidential primaries and analyzed facial expressions and gestures of candidates. Our preliminary analysis demonstrates that candidates employ gestures to varying extents, and the amount of body movement is correlated with emotions conveyed in the candidates' facial expressions. We discuss our dataset, preliminary results, and future directions in the following sections.
机译：电视社政治辩论通过学者在政治交流和社会心理学中获得了很多关注，他在人际交往中学习非语言线索及其对候选人评估的影响。丰富的政治多媒体和新平台已经需要领导者，以开发一种有效而独特的通信“风格”，可以依赖面部和身体等非语言装置。在辩论期间，候选人的表达手势传达的情绪已被证明，仅仅引起公众的强烈反应，而不是单独的修辞陈述。例如，候选人可能会利用自信和侵略性的手势来传达他们的信心和吸引支持者。然而，现有的研究主要基于人类手势的手工编码，这可能不可缩放或可重复。本文的主要目标是使用系统和自动化方法调查身体运动的作用，以及了解手势的背景和影响。对于此分析，我们从2020名民主党总统初级初中收集了政治辩论视频的数据集，并分析了候选人的面部表情和姿态。我们的初步分析表明，候选人雇用姿势到不同的范围，身体运动量与候选人面部表情中传达的情绪相关。我们在以下部分讨论了我们的数据集，初步结果和未来方向。

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