special technologies related to the development and implementation of artificial intelligence systems. They are used to develop systems capable of recognizing human emotions based on a variety of metrics, such as facial expressions, voice, body gestures, and even tone of speech. In addition, these systems can track and interpret user behavior in different environments, empowering devices to emotionally interact with people. Such systems are used in a wide range of fields, including healthcare, education, marketing, entertainment, and even social robotics.
1) In education, emotional AI can be used to adapt the learning process to the student’s emotions. If a student is frustrated or anxious, learning materials can be adapted to calm them down, and the teaching style can be changed to suit their emotional state, contributing to improved academic performance and reduced stress.
2) In healthcare, emotional AI can be used to monitor the psychological state of patients, especially those suffering from disorders such as depression or anxiety. Some apps are also used in digital cognitive behavioral therapy (CBT) to improve patients’ emotional well-being. These systems are also capable of providing comfortable emotional communication with people in the environment.3) Virtual and augmented reality: Tech objects are combined with emotional AI to create immersive interactive experiences. For example, virtual reality can be used to treat psychological disorders, such as phobias or post-traumatic stress disorder (PTSD), based on interaction with a simulated environment that adjusts to the patient’s emotional responses.
4) Mental health support. Emotional AI-based applications can help monitor and improve people’s mental health, for example, by providing an emotional response to relieve psychological stress.
5) Increased productivity. By adapting systems to the emotional state of users, it is possible to increase their performance in various areas, such as education, sports, and professional activities.