Title: EMOTIONAL INTELLIGENCE BASED ON EMPATHY NEUROLOGY FOR VISUAL STRESS STUDY USING INTELLIGENT AGENTS PARADIGM

Year of Publication: 2012
Page Numbers: 74-82
Authors: Arnulfo Alanis, Miguel Angel Lopez, Bogart Yail Marquez, Jose Sergio Magdaleno-Palencia, Karina Romero
Conference Name: The International Conference on Computing, Networking and Digital Technologies (ICCNDT2012)
- Bahrain

Abstract:


This article shows the progress of brain signals interpretation which identify primary emotions, using empathy neurological basis, on the visual stress environment, such behavior is learned by the Neurological Agent to measure visual stress degree, the idea of this research is that two or more entities, that could be robots (virtually or physically), may represent stress that is caused by primary emotions. Also this paper presents the following case study. Given that human beings feel and perceive all primary emotions we are doing an experiment with 4 people, 2 women and 2 men, forming 2 groups of 2 people, men and women, it is worth mentioning that ages are between 18-26 years and that these groups do not have mental problems. Emotions with which we carry out this study are only (happiness, sadness, surprise). These groups were shown a set of images that express emotions and that would take them to feel and express visual stress.