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Emotion, escalation, violence. Development of a video-based procedure for an early detection of emotion processes in crowd events.

情绪、升级、暴力。

基本信息

批准号：
258979342
负责人：
Professor Dr. Jo Reichertz
金额：
--
依托单位：
Institut für Neuroinformatik (INI)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/258979342?language=en
关键词：
Emotion escalation violence.Development video

项目摘要

Whenever people come together in large numbers in public, be it at football matches, rock concerts or demonstrations, group emotions (positive as well as discordant) are often generated. Sometimes, conflicting group emotions can escalate and may in some cases result in major acts of violence by individuals or groups. Whether and when these group emotions will arise has not been possible to predict, recognize at an early stage, or explain in socioscientific terms to date.Only by observing the emotions and dynamics of the emotions in large groups from the very beginning are experienced observers able, on the strength of the (mostly implicit) knowledge they have gained in practice, to recognize escalation processes early on and understand, explain and to some extent control them.The theoretical question at the centre of this project is whether emotional processes (that is, emotional escalation processes) can also be detected automatically by an observing camera and depicted in a corresponding imaging technique, with the aim of enabling escalating emotions at crowd events to be recognized as early as possible.To answer this question, the proposed research project sets out to initially conduct the following basic research: (1) capture, analysis and conceptualization using hermeneutic sociology of knowledge of the implicit knowledge among experienced observers (police officers) of escalating group emotions by means of participant observation and interviews (field work accompanying the Federal police action force (BFHu)). The process of emotional excitement among groups will then be differentiated, validated, described systematically and conceptualized using video analysis (2) and further data material (video archive and training material). In interdisciplinary collaboration (socioscientific emotion research, sociology of technology, informatics) (3) video-based algorithms for recognition of group emotions will be developed and mapped onto emotional processes by means of machine learning. Results should be presented in real-time by a video-based visualization (e.g. colour representation of emotions in crowds of people or relevant regions of interest) that can be used for the basic research into emotions.

每当人们在公共场合聚集在一起，无论是在足球比赛，摇滚音乐会或示威游行，群体情绪（积极的以及不和谐的）往往会产生。有时，冲突的群体情绪可能升级，在某些情况下可能导致个人或群体的重大暴力行为。这些群体情绪是否会出现以及何时出现，迄今为止还不可能预测、在早期阶段识别或用社会科学术语解释。只有从一开始就观察大群体的情绪和情绪动态，经验丰富的观察者才能凭借他们在实践中获得的（大多是隐性的）知识，以便及早识别升级过程并理解，解释并在一定程度上控制它们。该项目的中心理论问题是情感过程是否（即，情绪升级过程）也可以由观察相机自动检测并以相应的成像技术描绘，，目的是尽早识别人群活动中不断升级的情绪。为解答这个问题，建议的研究计划初步进行以下基础研究：（1）捕获，运用解释学知识社会学对经验观察者的内隐知识进行分析和概念化通过参与者观察和访谈（伴随联邦警察行动部队（BFHu）的实地工作），对不断升级的群体情绪（警察）进行调查。然后，将使用视频分析（2）和进一步的数据材料（视频档案和培训材料）对群体之间的情绪激动过程进行区分、验证、系统描述和概念化。在跨学科合作（社会科学情感研究，技术社会学，信息学）（3）将开发基于视频的算法，用于识别群体情感，并通过机器学习映射到情感过程。结果应通过基于视频的可视化（例如，人群或相关感兴趣区域的情绪的颜色表示）实时呈现，可用于情绪的基础研究。