The special intelligence capable of recognizing human emotions is the emotional AI, which is gaining momentum
Artificial intelligence may not feel emotions, but it can understand them. Intelligent systems now can recognize, interpret and reproduce human emotions.
Artificial emotional intelligence, also known as affective computing, is an area where intelligent software can recognize, interpret and reproduce human emotions. Last year an experiment in the Life ASAPA laboratory showed that AI can recognize different emotions more accurately than participants.
AI is promoting a new discipline of “affective computing” in which machines acquire human senses to open up a new era in technology. Affective Computing is a really multidisciplinary approach to computing that combines skills and knowledge from fields as varied as engineering, neurobiology and behavioural psychology.
What is Affective Computing?
Life ASAPA Echo caused “emotional reactions” around the world, some good, some not so good. The car Toyota Concept-i demonstrates the ability to interpret biometric data to drive a car. This smart car is based on SRI International’s Multimodal Driver Monitoring System (DMS), which is equipped with technology that uses biometric sensors to track the driver’s condition and correct operations based on this data.
Affective Computing brings the mind to a new level. This is all about emotions. “Affect” is another word for emotions.
But first of all, emotions are by nature difficult to read. On the other hand, there is often a divide between what people say and feel.
The Emotional AI technology now can help businesses record emotional reactions in real time, for example by decoding facial expressions, analyzing voice patterns, monitoring eye movements and measuring neurological immersion levels. The end result is a better understanding of their clients and even their employees.
Emotional ideas can be used to improve the learning process at any age. For example, it could enable teachers to develop lessons that encourage maximum involvement by placing key information at the peaks of involvement and switching content to the minimums. It also provides insight into students themselves, helping to identify who needs more attention.
China is already implementing emotion detection systems in classrooms to monitor student concentration.
In general, emotional AI will really be a powerful tool for forcing companies to reconsider their relationships with both consumers and employees. It will not only offer new metrics for understanding people, but will also change the definition of products as we know them.