Thomas Kosch is a Human-Computer Interaction (HCI) professor at the Humboldt University of Berlin. With a deep passion for exploring the intricate relationship between humans and Artificial Intelligence (AI), he devotes his expertise to understanding and enhancing the synergy between the two.
His primary research interest is the domain of human-AI interaction, where he investigates the implementation and evaluation of AI models to sense user states. He constantly pushes the boundaries of technology to create intelligent systems that interpret and respond to human emotions, mental workload, and 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 at the forefront of 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 :).