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Previously, technology was simply employed to convey our messages. It now tends to write them for us by analyzing our feelings. While it is simple for the human brain to comprehend a feeling or sense and grasp how other living species can feel, artificial intelligence, or AI, presents a more challenging scenario. This new technology, on the other hand, has matured over the last five decades to become the world’s technological future. Let’s take a gander at what occurs when artificial intelligence learns about your emotions.

What Happens When an AI Knows How You Feel?

As John McCarthy and Marvin Minsky established Artificial Intelligence in 1956, they were astounded by how quickly a machine could solve seemingly impossible issues.

It turns out, however, that teaching Artificial Intelligence to win a chess match is relatively simple. Teaching a machine what emotions are and how to duplicate them would be a difficult task.

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The ability to feel many forms of ideas, expressions, and sensations is a crucial quality of intelligent beings such as humans. Emotion is a vital component of the lives of biological creatures like animals and humans.

The state of our existence might be jeopardized if we didn’t have emotion. We would most likely be threatened by societal shame and fears rather than living in a world of happiness and love.

The human brain is naturally good at recognizing feelings and sensations, as well as understanding how other living things work. However, in the case of artificial neural networks, deep learning, and AI, the situation is more complicated.

Take into account several of the computer vision tasks where AI is employed, such as facial recognition, image segmentation, and emotion or gesture recognition. These are the most prevalent scenarios in which artificial intelligence can outperform humans. But first, let’s look at each of these activities individually to see how they’re doing in the actual world.

Face recognition in deep learning has progressed steadily and has now reached a new level. With today’s technological breakthroughs, we can recognize a single face with a single photograph with an accuracy of over 99.2%.

Even with these quick advancements, it is difficult to ignore that there are some flaws in this particular industry.

What is Emotion AI and how does it work?

Emotion AI, as well defined as Affective Computing, is a branch of artificial intelligence that aims to process, understand, and even replicate human emotions. It was first developed in 1995.

Artificial intelligence that measures, replicates, and reacts to human emotions is known as Emotion AI.

According to research from MIT Sloan, because machines are skilled at analyzing massive volumes of data, they can listen to vocal inflections and recognize when such inflections correlate with stress or rage.

It claims that machines can analyze photos and detect subtleties in micro-expressions on humans’ faces that are too rapid for humans to notice.

Where does Emotion AI come into play?

Virtual personal assistants like Amazon’s Alexa and Apple’s Siri, which conduct tasks on command, are the most prevalent application.

Amazon’s fitness tracker, Amazon Halo, uses AI to analyze a user’s voice to identify their mood and emotional state of mind.

HP announced a virtual reality (VR) headgear in October 2020 that employs sensors to track physiological reactions such as facial expressions, eye movement, and heartbeat to create user-centric gaming experiences.


Personalization is one of the advantages of emotion-sensing technology, which is especially useful in corporate and medical settings where user experiences are subject to interpretation.

Nurse-bots are used in medicine to maintain track of a patient’s health and remind them to take their medications. Through voice analysis, AI-controlled software can assist practitioners in diagnosing depression and dementia.

AI in the form of chatbots and robots is believed to give users with judgment-free, unbiased, and rapid support in the workplace. According to a survey done by Oracle in October, more than 90% of interviewees in India and China were more receptive to talking to robots about their mental health than they were to talking to their supervisors.

The drawbacks

The use of artificial intelligence (AI) to track human emotions has been criticized, with bias being the most serious worry.

According to a study, emotional analysis technology assigns more negative feelings to black men’s faces than it does to white men’s looks.

Because AI isn’t sophisticated enough to recognize cultural variances in how people express and perceive emotions, it’s difficult to make correct conclusions. In Germany, for example, a smile could signify one thing and another in Japan. According to Harvard Business Review, conflating these concepts can lead to poor decisions, particularly in business.

What’s next?

Institutions must be cognizant of the possibility for AI biases to influence the veracity of their findings. Emotion detection and recognition not only increases human-computer interactions, but it also improves the actions made by computers in response to user feedback.

Final Thoughts

Emotions are tough to interpret by nature, and there is frequently a gap between what individuals say they feel and what they truly feel. Although a machine may never achieve this degree of comprehension, who is to claim that the way we process emotions is the only way? Because our interpretations of one other’s emotions are rife with subjectivity and viewpoint, AI may be able to assist us in getting right to the point when it comes to our feelings.

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