论文标题

脑电图:一种透明的情感模型

EEGS: A Transparent Model of Emotions

论文作者

Ojha, Suman, Vitale, Jonathan, Williams, Mary-Anne

论文摘要

本文介绍了我们的情绪模型脑电图的计算细节,并提供了用于评估我们模型的三阶段验证方法的概述,该方法也可以适用于其他情感计算模型。现有情感建模文献的一个主要差距是缺乏实施模型的计算/技术细节,这不仅使早期研究人员难以理解该领域,而且还可以防止为专家研究人员提供开发模型的基准测试。我们通过在以前的工作中介绍计算评估变量的技术细节来部分解决这些问题。在本文中,我们介绍了基于评估理论的理论前提计算情感强度的数学公式。此外,我们将讨论如何使我们的情绪模型达到自治人社会可接受性的受管制情绪状态。我们希望本文能够更好地透明知识,准确的基准测试以及情感建模领域的进一步发展。

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.

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