Michael Barz

German Research Centre for Artificial Intelligence, Carl von Ossietzky Universität Oldenburg

Papers

Total Citations

H-Index

About

Michael Barz is a researcher whose work spans human-robot interaction (HRI), extended reality (XR), multimodal interfaces, and brain-computer interfaces (BCI). His research is unified by a commitment to making complex technological systems more accessible, intuitive, and effective for human users across industrial and rehabilitative contexts. Barz's most notable contributions include his leadership within the MASTER XR project, which has developed an open extended reality platform designed to revolutionize robotics training in manufacturing environments. This work addresses critical challenges in human-robot collaboration, offering tools for safe workspace creation and intuitive robot programming. Complementing this, his earlier investigations into gaze-supported multimodal dialogue systems demonstrated how eye-tracking technology could meaningfully enhance speech-based human-robot communication, bridging the gap between natural human behavior and robotic comprehension. More recently, Barz has expanded his scope into BCI research, exploring how gamification can improve engagement and data quality during speech imagery EEG training — a promising direction for accessible neural interfaces. Collectively, his publications have accumulated citations that reflect growing interest across the HRI, XR, and BCI communities. His interdisciplinary approach makes his work particularly valuable for researchers and students seeking to understand how emerging technologies can be designed with human needs at their core.