Thomas Kosch is a professor of Human-Computer Interaction at the Humboldt University of Berlin.
His primary research interest is the domain of physiological interaction, human-AI interaction, and extended reality, where he investigates the implementation and evaluation of AI models to sense user states to adapt to extended reality environments. He creates and evaluates intelligent user interfaces that interpret and respond to human emotions, mental workload, and user intentions. He strives to develop AI models that provide users with a seamless and personalized experience by combining advanced machine-learning techniques with physiological and contextual data.
Moreover, he is interested in studying the challenges inherent in human-AI interaction. He researches the complexities of integrating AI into various domains and contexts while investigating the ethical, social, and scientific implications of interacting with AI systems. He actively investigates how AI can enhance user interfaces to consider individual needs and preferences. By leveraging machine learning algorithms, he strives to create interfaces that adapt and evolve according to the user’s context and priorities, ultimately improving user satisfaction and efficiency. His work advances the understanding of how humans and AI can effectively collaborate and strives to create a future where technology seamlessly enhances our lives.
His research papers have been published in prestigious academic journals and presented at renowned conferences, contributing valuable insights to the academic community. Additionally, he collaborates with industry partners to bridge the gap between academia and real-world applications, ensuring that his research has practical implications in developing user-centric AI systems.
Don’t hesitate to contact him if you have any questions :).