Emotion-Aware Explainable Artificial Intelligence for Personality, Emotion, and Mood Simulation

Authors

  • David Valle-Cruz Universidad Autónoma del Estado de México
  • Asdrúbal López-Chau Universidad Autónoma del Estado de México
  • Marco Antonio Ramos-Corchado Universidad Autónoma del Estado de México
  • Vianney Muñoz-Jiménez Universidad Autónoma del Estado de México

DOI:

https://doi.org/10.13053/cys-26-1-4151

Keywords:

Explainable artificial intelligence, emotion analysis, sentiment analysis, personality, emotion, mood

Abstract

This paper is twofold. First, the authors analysed the state of the art on the explainable artificial intelligence (XAI) applied to affective computing, emotion analysis, and sentiment analysis. Second, based on Kaptein’s approach and using the personality, emotion, and mood model proposed by Egges, the authors tested an Emotion-aware XAI framework to determine the affective state of predefined-behaviour autonomous entities in uncertainty contexts. The affective state analysis of eight selected formal use cases was divided into four stages: personality settings, event evaluation, emotions and moods generation, and results classification. Findings suggest that the affective state depends on the type of predominant personality and the influence of the events in the environment.

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Published

2022-03-26

Issue

Vol. 26 No. 1 (2022): Recent Advances in Language & Knowledge Engineering (Guest editors: D. Pinto, B. Beltrán, A. Vázquez, D. Vilariño)

Section

Articles of the Thematic Issue

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