Role of Machine Learning in Artificial Emotional Intelligence

Abstract

The present world is overwhelmed with digital technologies: ubiquitous platforms of cloud computing and the internet of everything. Artificial intelligence (AI) is a technology that enables a machine to simulate human behaviour. The detailed facial expressions are captured by AI-enabled effective imaging and recognition processes of human vision. In artificial emotional intelligence (AEI), a new paradigm of human-computer interaction with AI-enabled cloud and internet connectivity could transpire healthy emotional intelligence (EI). As per the WHO world health report in 2018, globally, an estimated 264 million people are affected by depression and increased in recent years pertinent to COVID-19 lockdown-induced socio-economic factors. Hence, its paramount importance for the government and researchers to give serious consideration to developing EI. EI including human behaviours, digital well-being, and decision-making can be mentored using predictive data analytics. In this chapter, recent trends, preferrable ML algorithms, and research approach to EI components are discussed.