Hannes Diemerling - using machine learning to recognise emotions, healthcare and AI development

Understanding Emotions with Machine Learning: A Conversation with Hannes Demerling In this episode of Empathy Unbound, host Andrew Phipps is joined by Hannes Demerling, a pre-doctoral fellow at the Center for Lifespan Psychology at the Max Planck Institute for Human Development. The discussion delves into Hannes's work on using machine learning to recognize emotions from audio recordings, a field with significant potential applications in healthcare and AI development. Hannes also shares personal insights into what shaped his interest in emotional research and elaborates on his current projects, including emotion recognition from video material and developing more nuanced emotional descriptions using advanced machine learning models. The conversation highlights the growing intersection of AI and emotional intelligence, exploring both the challenges and opportunities in the field. 00:00 Introduction and Guest Introduction 01:00 Hannes' Background and Early Influences 03:35 Understanding Empathy in Machine Learning 04:53 Research Methodology and Findings 09:55 Practical Applications of Emotion-Recognizing AI 15:05 Future of Emotion-Recognizing AI 19:53 Current and Future Research Directions 37:30 Conclusion and Final ThoughtsMore about Hannes and his research Drop me a note, it's always good to hear what you think [email protected]