The business associated with every sector is investing in A.I to improve its services and customer experience. Whereas the average customer experiences of interacting with machines can be draining when they are incapable of understanding human emotions and behavior.
As humans are unable to communicate clearly with a machine and vice versa the inefficiency occurred due to miscommunications tend to lack interest from the end-user because of the failure of the machine to recognize and adapt its emotions.
According to Merriam Webster’s definition of empathy, a machine is supposed to be capable of experiencing emotions and for that, they should be capable of recognizing and comprehending emotions.
To facilitate more effectively human to machine corporations we need to develop machinery a lot human-like and to attain that they need to have the ability to understand emotional states and interact.
Emotional recognition is easier to solve than emotional empathy as given large specified data, the machine learning system can learn and recognize patterns that are associated with different emotions. Yet recognizing is not the same as the understanding for instance machines can recognize apple or mango based on collected data but will not be able to understand the behavioral characteristics of apple and mango, that they are fruits or that they are good or bad for health.
Likewise, understanding does not mean the feeling of empathy, for instance, there are three friends one of them is feeling moody, which the other two can understand yet they are not feeling empathetic towards him, one might not be even concerned and others might find his mood swings humourous. Because at times understanding the emotions of individuals tends to get difficult as not everyone expresses or reads emotions at the same level. However, like humans, machines will be able to understand a person with whom it has boundless contact.
Artificial-emotional intelligence can improvise the status and results of human to machine communications as when emotional intelligence gets attached, it personalizes not only on the basis of on who I am or what my outline is all about but the emotional element as well, and that modifies the nature of communication, by modifying what you say.
So to make it more accessible for machine to understand the pattern-based data but also able to read and respond according to the human behavior , Scanta has introduced a personality-based engine with big five personality trait, just like a human, have a distinct personality, for instance, extrovert, introvert, emotional, angry similarly machine is developed with its personality-based engine which enables the machine to understand the user behavior and emotions and respond in an appropriate manner.