Studying and developing systems that can recognize, express, and “have” emotions is called affective computing . To create a Computational Model of Emotion (CME), one must first identify what kind of system to build, then find emotion theories that match its requirements. The relevant literature is vast. This survey aims to help design CMEs that generate emotions —separated into emotion representation and elicitation tasks—in computer agents and interfaces. We give an overview of 67 CMEs from different domains, and identify which emotion theories they use and why. To better understand why CMEs use some theories, we also analyze instances where these CMEs use theories to express emotion . Lastly we summarize how CMEs generally use each theory. The survey is meant to be a guideline for deciding which affective theories to use for new emotion-generating CME designs.

中文翻译：

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背后是什么——情感理论在情感计算模型中的应用调查

研究和开发能够识别、表达和“拥有”情绪的系统被称为情感计算。要创建情感计算模型 (CME)，首先必须确定要构建的系统类型，然后找到符合其要求的情感理论。相关文献非常丰富。这项调查旨在帮助设计 CME产生情绪——分成情绪表征和启发任务——在计算机代理和接口中。我们概述了来自不同领域的 67 个 CME，并确定了他们使用了哪些情绪理论以及原因。为了更好地理解为什么 CME 使用某些理论，我们还分析了这些 CME 使用理论来表达情感。最后，我们总结了 CME 通常如何使用每种理论。该调查旨在作为决定将哪些情感理论用于新的情感生成 CME 设计的指南。