Emotion AI, or Affective Computing, is a fascinating subfield of artificial intelligence focused on detecting and interpreting human emotions. Through facial recognition, voice tone analysis, and even physiological signals, machines are learning to “sense” how people feel. This technology is being used in call centers to improve customer service, in education to identify student engagement, and in healthcare to monitor mental well-being. For example, some apps now detect signs of depression or anxiety based on voice or text patterns. However, the development of Emotion AI also raises ethical concerns about privacy, manipulation, and consent. As this technology grows, it challenges the line between human intuition and machine perception. This post delves into how Emotion AI works, where it’s being applied, and what society must consider as it evolves.
Emotion AI: Can Machines Understand Human Feelings?
