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微表情识别在人物塑造中的作用——以《别对我说谎为例》


全文字数:10000字左右  原创时间:<=2022年

【内容摘要】

微表情识别在人物塑造中的作用——以《别对我说谎为例》

由行为学专家保罗·艾克曼的真实研究及畅销书《说谎》改编的美剧《别对我说谎》将微表情识别技术展现的淋漓尽致,并随之引发了一场微表情学习的热潮。本文旨在通过对微表情识别在该剧主人公莱特曼博士的工作和生活中产生的不同作用加以研究,分析其人物形象中体现出来的不同特点。
本文由导论、正文和结论三部分组成。主要内容如下:
导论部分简要的概括了《别对我说谎》的创作背景、主要内容以及作品影响。
正文由三部分组成:
第一部分首先介绍了微表情的定义以及微表情识别的应用。概述了微表情研究的起源,发展进程以及应用成果。
第二部分主要讨论了微表情识别在人物分析中的作用。分别从主人公工作和生活的不同视角阐述了微表情识别在主人公的专业能力、领导力以及爱情、亲情和友情中产生的不同影响,体现了主人公不同的形象特点。
第三部分主要讨论微表情识别的现实意义。在高校心理教育、商务谈判以及外交领域中,微表情识别技术均体现出极佳的实用价值,值得推广。
结论主要对以上的论述进行总结,并点出本文的主要发现,缺陷和建议。微表情识别在卡尔·莱特曼这一人物形象的塑造中起到的是一个双刃剑的作用。既塑造出了主人公敏锐、睿智的正面形象,又展现出了其多疑、固执的负面形象,人物形象完整而鲜活。此外,由于本文对于人物形象的分析主要选取的是微表情识别的情境,而在其他情境中主人公也有许多鲜明的特点,本文未作深入讨论。微表情作为一门新兴的学科,希望未来有更多的研究成果面世,为人类的交际打开新的天地。

关键词:微表情;人物分析;谎言探测;肖像;会话

Abstract
Lie to Me, an American TV series based on the bestselling book Telling Lies and the real-life study of behavioral expert Paul Ekman, has sparked a wave of micro expression learning. This thesis aims to study the different effects of micro expression recognition on the work and life of Dr. Lightman, the protagonist of the play, and analyze the different features of the character.
This thesis consists of an introduction, the main body and a conclusion. Its main contents are as follows:
The introduction briefly summarizes the creation background, main content and influence of Lie to Me.
The main body is made up of three parts:
The first part introduces the definition of micro expression and the application of micro expression recognition. The origin, development and application of micro expression research are summarized in this part.
The second part focuses on the role of micro expression recognition in character analysis. From different perspectives of the protagonist’s work and life, this thesis expounds the different influences of micro expression recognition on the protagonist’s expertise, leadership, love, affection and friendship, which reflects the different image characteristics of the protagonist.
The third part mainly discusses the practical significance of micro expression recognition. In the fields of college psychological education, business negotiation and diplomacy, micro expression recognition technology has shown excellent practical value and is worth promoting.
The conclusion mainly summarizes the above discussion, and points out the main findings, limitations and suggestions of this thesis. Micro expression recognition is a double-edged sword in the characterization of Cal Lightman. It not only creates a positive image of the sharp and intelligent protagonist, but also shows a negative image of the suspicious and stubborn character. The character image is complete and vivid. In addition, since the analysis of the character image in this thesis mainly selects the situation of micro expression recognition, and the protagonist in other situations also has many distinct characteristics, this thesis does not discuss in depth. As a new subject, micro expression is expected to have more research achievements in the future, which will open a new world for human communication.

Key words: micro expression; character analysis; lie detection; portrait; conversation

 

 

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