Decoding: How AI is Hacking Human Emotion

This episode explores the intersection of affective science, technology, and artificial intelligence in the pursuit of automated emotion and stress recognition. Academic institutions and commercial entities are developing systems that utilize physiological signals—such as heart rate, skin conductivity, and vocal biomarkers—to objectively monitor mental health. While companies like Affectiva and Sonde Health apply these innovations to media analytics and workforce well-being, researchers emphasize the importance of machine learning to interpret complex human behaviors. However, recent studies also warn of a "bond paradox," where forming deep emotional attachments to AI chatbots can lead to psychological dependency rather than therapeutic benefit. While this episode showcases the technological shift toward real-time mental fitness tracking,  it also highlighte the critical need for boundaries in human-computer interactions. So...what next?