معرفی
Maximilian Rettinger is a researcher at the Chair of Human-Machine Communication within the Technical University of Munich (TUM), holding an M.Sc. degree. He actively contributes to research and teaching in Extended Reality (AR/VR/MR), Human-Computer Interaction, and computer-based training systems, with publications spanning 2021-2025.
His research centers on VR/AR applications for high-stakes training domains, particularly healthcare and robotics. Key investigations include cognitive load dynamics in complex VR environments, multi-user collaborative systems for medical device operation, tangible interaction techniques, and visual complexity impacts on learning. His work bridges human factors with practical training solutions for critical scenarios like hemodialysis, explosive ordnance disposal, and pandemic response.
Analysis of his 12 recent publications reveals consistent focus on medical VR training efficacy, with emerging trends in multi-user expert guidance systems and cognitive load optimization. His 2024-2025 work shows increasing specialization in robotic programming interfaces and visual perception metrics within XR.
Rettinger participates in two major funded projects: the DAAD-supported Sino-German Graduate College (CDHK) involving five universities (2022-2028), and a BMWi/ZIM-funded VR training system for explosive ordnance disposal with industry partners EMC Kampfmittelbeseitigungs GmbH and Golden West Humanitarian Foundation (2019-2021).
As part of Prof. Hemmert's research chair, he contributes to TUM's human-machine interaction initiatives through conference presentations at IEEE ICRA, VR, and ISMAR, while teaching courses including Ergonomic User Interface Design and Human-Machine Communication since 2019.
