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EEGS: A Transparent Model of Emotions
arXiv - CS - Multiagent Systems Pub Date : 2020-11-04 , DOI: arxiv-2011.02573
Suman Ojha, Jonathan Vitale and Mary-Anne Williams

This paper presents the computational details of our emotion model, EEGS, and also provides an overview of a three-stage validation methodology used for the evaluation of our model, which can also be applicable for other computational models of emotion. A major gap in existing emotion modelling literature has been the lack of computational/technical details of the implemented models, which not only makes it difficult for early-stage researchers to understand the area but also prevents benchmarking of the developed models for expert researchers. We partly addressed these issues by presenting technical details for the computation of appraisal variables in our previous work. In this paper, we present mathematical formulas for the calculation of emotion intensities based on the theoretical premises of appraisal theory. Moreover, we will discuss how we enable our emotion model to reach to a regulated emotional state for social acceptability of autonomous agents. We hope this paper will allow a better transparency of knowledge, accurate benchmarking and further evolution of the field of emotion modelling.

中文翻译:

EEGS:一种透明的情绪模型

本文介绍了我们的情感模型 EEGS 的计算细节,并概述了用于评估我们的模型的三阶段验证方法,该方法也适用于其他情感计算模型。现有情感建模文献中的一个主要差距是缺乏已实现模型的计算/技术细节,这不仅使早期研究人员难以理解该领域,而且还阻碍了专家研究人员对已开发模型进行基准测试。我们通过在我们之前的工作中提供计算评估变量的技术细节来部分解决这些问题。在本文中,我们基于评价理论的理论前提,提出了计算情绪强度的数学公式。而且,我们将讨论如何使我们的情绪模型达到受监管的情绪状态,以实现自主代理的社会可接受性。我们希望这篇论文能够提高知识的透明度、准确的基准测试以及情感建模领域的进一步发展。
更新日期:2020-11-06
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