Advancing Human-Computer Interaction: Exploring the Frontiers of Artificial Emotional Intelligence in Interactive Systems and Its Implications for Societal Integration

Abstract

Purpose: Advancements in both computer hardware and software fields are utilized to attain progress across a variety of industries including business, manufacturing, education, health, and governance. However, there is a common denominator irrespective of the application of artificial intelligence (AI) i.e., affective or emotional intelligence (EI) of AI systems. This paper aims to discuss the integration of major elements of EI models into artificial emotional intelligence (AEI) systems. Design/Methodology: The paper structure is descriptive. Based on 50 studies examining the areas of AI, EI, and AEI, the paper expands the discussion on the interlinks between AI and EI. Findings: With the availability of big data, advanced data analytical tools, complex algorithms capable of conducting multivariate analysis, expandable memory, and retention, AI embarks on understanding, learning, and applying human emotions, and attaining emotional intelligence. This study proposes that artificial emotional intelligence can be achieved by simulating the learning mechanisms exhibited by human beings. Research Implications The indispensable interface between man and machine makes it pertinent to discuss AI’s ability to embrace and internalize human emotions. The study has implications for every industry, especially those that are looking to employ AI tools to assist or replace human counterparts. Originality Based on the most renowned model of emotional intelligence presented by Goleman, this study proposes a rudimentary EI model for outlining the basic facets of AEI systems. The study contributes to the literature examining the crossover between AI technologies, emotions, and learning.