EEGS: A Transparent Model of Emotions
This work addresses the problem of transparency and benchmarking in emotion modeling for researchers, though it is incremental as it builds on previous technical details.
The paper tackles the lack of computational details in emotion modeling by presenting EEGS, a transparent model that provides mathematical formulas for calculating emotion intensities based on appraisal theory, and includes a validation methodology applicable to other models.
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.