معرفی
Prof. Dr. Martin Baumann is Chair of Human Factors at Ulm University, a position he has held since February 2014. His research is centered on cognitive and behavioral aspects of human interaction with advanced technological systems, particularly in automated transportation. He leads a research group focused on human-machine systems, with strong affiliations to transportation safety and driver assistance technologies.
His research interests include:
- Cognitive Modeling and empirical studies of human behavior in human-machine systems
- Attention processes, situational awareness, and cognitive distraction
- Design and implementation of cooperative driver assistance and automation systems
- Multimodal interaction and transitions between automated and manual driving modes
- Diagnostic reasoning and decision-making under uncertainty
His scholarly work, accessible via Google Scholar, demonstrates a consistent focus on understanding and enhancing human performance in automated environments. Key trends across his recent publications include modeling driver cognition, evaluating multimodal interfaces, and improving the safety of human-automation handovers in vehicles. His work integrates cognitive psychology with engineering design to develop human-centered automation.
Scientific Contributions:
- Developed cognitive models of driver behavior and situational understanding
- Pioneered research on attentional tunneling and cognitive distraction in automated driving
- Advanced methodologies for usability evaluation of in-vehicle technologies
- Influenced design principles for cooperative human-machine interaction
Prof. Baumann has supervised numerous research projects and mentored early-career researchers, though specific student names are not listed. His work has been supported by national and institutional research grants related to transportation safety and human factors engineering. He previously led research groups at the German Aerospace Center (DLR) and held postdoctoral positions at Chemnitz University of Technology and BASt, reflecting a deep engagement with applied cognitive science.
He is associated with the Human Factors research lab at Ulm University, which conducts empirical studies on driver behavior, cognitive load, and interface design using driving simulators, eye-tracking, and cognitive task analysis. The team focuses on holistic evaluation methods for next-generation driver assistance systems.
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