摘要翻译：
情感计算已经被证明是一个可行的研究领域，由大量多学科的研究人员组成，其工作被广泛发表。主要工作包括情感识别的计算模型、情感因果因素的计算建模以及通过渲染人脸和机器人人脸来表达情感。一小部分涉及情感影响的建模、认知评价理论的形式化建模和突发情感的模型。情感计算作为一个领域的部分动机是通过计算建模更好地理解情感过程。情感计算的四大主题之一是具有情感的计算机（其他主题是识别、表达和理解情感）。拥有情感的一个重要而被忽视的方面是情感的体验(Barrett，Mesquita，Ochsner和Gross，2007)：一个情感事件的内容是什么样子的，这些内容如何随着时间的推移而变化，我们什么时候称这一事件为情感事件。很少有建模工作将这些主题作为主要焦点。一本关于合成情绪的期刊的出版应该会激发这一方向的研究主动性，这项研究应该会对心理学中的情绪研究产生可衡量的影响。我指出，这样做的一个好方法是调查情感的心理核心：体验。我提出了关于情感体验如何建模的想法，并提供了几个情感计算模型已经在解决这个问题的证据。
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英文标题：
《Modeling the Experience of Emotion》
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作者：
Joost Broekens
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最新提交年份：
2009
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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一级分类：Computer Science        计算机科学
二级分类：Human-Computer Interaction        人机交互
分类描述：Covers human factors, user interfaces, and collaborative computing. Roughly includes material in ACM Subject Classes H.1.2 and all of H.5, except for H.5.1, which is more likely to have Multimedia as the primary subject area.
包括人为因素、用户界面和协作计算。大致包括ACM学科课程H.1.2和所有H.5中的材料，除了H.5.1，它更有可能以多媒体作为主要学科领域。
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一级分类：Computer Science        计算机科学
二级分类：Robotics        机器人学
分类描述：Roughly includes material in ACM Subject Class I.2.9.
大致包括ACM科目I.2.9类的材料。
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英文摘要：
  Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers resulting in work that is widely published. The majority of this work consists of computational models of emotion recognition, computational modeling of causal factors of emotion and emotion expression through rendered and robotic faces. A smaller part is concerned with modeling the effects of emotion, formal modeling of cognitive appraisal theory and models of emergent emotions. Part of the motivation for affective computing as a field is to better understand emotional processes through computational modeling. One of the four major topics in affective computing is computers that have emotions (the others are recognizing, expressing and understanding emotions). A critical and neglected aspect of having emotions is the experience of emotion (Barrett, Mesquita, Ochsner, and Gross, 2007): what does the content of an emotional episode look like, how does this content change over time and when do we call the episode emotional. Few modeling efforts have these topics as primary focus. The launch of a journal on synthetic emotions should motivate research initiatives in this direction, and this research should have a measurable impact on emotion research in psychology. I show that a good way to do so is to investigate the psychological core of what an emotion is: an experience. I present ideas on how the experience of emotion could be modeled and provide evidence that several computational models of emotion are already addressing the issue.
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PDF链接：
https://arxiv.org/pdf/0903.0735