Jens Gerken

Jens Gerken is a Professor at TU Dortmund University, Germany, specializing in Human-Computer Interaction with a particular focus on assistive robotics, tangible interfaces, and human-robot collaboration. His work bridges theoretical HCI research with practical applications for people with disabilities, resulting in numerous publications in top-tier venues including CHI, HRI, and INTERACT.

Dr. Gerken's research interests center around making technology more accessible and intuitive, particularly through innovative interaction techniques. His current work explores how shared control systems, AI-enhanced interfaces, and extended reality can empower users with motor impairments. He has developed frameworks like AdaptiX for evaluating assistive robotic applications and investigates how to effectively communicate robot motion intent to users. His recent publications also address ethical concerns in interface design, particularly deceptive patterns in digital interfaces, using serious games as educational tools.

The trajectory of his recent publications shows a consistent focus on human-centered robotics, with increasing integration of AI techniques. His work demonstrates a strong commitment to participatory design methods, frequently involving end-users with disabilities in the development process. The research spans from fundamental interaction techniques to complete system implementations, always maintaining a strong connection to real-world usability and accessibility needs.

Dr. Gerken has mentored several doctoral students who have become active researchers in the field, including Max Pascher, Kirill Kronhardt, and Younes Lakhnati. His collaborative network extends across multiple institutions, with frequent partnerships with researchers at the University of Konstanz and other German universities. His projects often involve interdisciplinary teams combining expertise in computer science, engineering, and human factors.

His laboratory work focuses on developing and testing assistive technologies in realistic settings, moving beyond traditional lab evaluations to more authentic contexts. Recent projects include developing robotic arms with adaptive control for users with limited mobility, creating transparency tools for AI-generated personas, and designing serious games to raise awareness about deceptive interface patterns.