Emotion-Driven Adaptive Streaming: A Position Paper on Integrating Biophysiological Data for Enhanced User Experience

This position paper explores the transformative potential of integrating biophysiological data into adaptive streaming systems to enhance the user experience. As streaming technologies evolve, there is an increasing recognition of the importance of personalization and real-time adaptation. We propose a paradigm shift towards "Emotion-Driven Adaptive Streaming" (EDAS), where biometric signals such as heart rate, facial expressions, and electrodermal activity are leveraged to dynamically adjust streaming parameters. Our paper discusses the theoretical foundations, potential applications, and ethical considerations associated with EDAS. By examining the intersection of technology and human emotion, we advocate for a holistic approach that prioritizes user well-being and engagement. This position paper aims to stimulate discussion and guide future research in the quest for a more emotionally aware and personalized streaming experience.