A blog about science, intelligent user interfaces, and human-AI interaction
A blog about science, intelligent user interfaces, and human-AI interaction


Thomas Kosch is a Human-Computer Interaction (HCI) professor at the Humboldt University of Berlin. With a passion for exploring the relationship between humans and Artificial Intelligence (AI), he devotes his expertise to understanding and enhancing the interaction between them.

His primary research interest is the domain of human-AI interaction and mixed reality, where he investigates the implementation and evaluation of AI models to sense user states to adapt to mixed reality environments. He creates and evaluates intelligent user interfaces that interpret and respond to human emotions, mental workload, and intentions. He strives to develop AI models that provide users 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 delves into the complexities of integrating AI into various domains and contexts, analyzing the ethical, social, and scientific implications of interacting with AI systems.

With a keen interest in adaptive and personalized interfaces, he actively investigates how AI can enhance user interfaces to better cater to 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 :).