Papers
2
Total Citations
28
H-Index
2
About
Michael Otto is a versatile researcher whose work spans labor economics, automation, and human-computer interaction technologies. His most prominent contribution examines the labor market consequences of robotization, investigating how automation reshapes unemployment risk across different skill levels and occupational categories. Drawing on competing theoretical frameworks — skill-biased and task-biased technological change — his 2023 study, which has already garnered 23 citations, offers important insights into how technological disruption drives workforce inequality, making it a valuable resource for economists and policymakers grappling with the future of work. Beyond labor economics, Otto has also made contributions to immersive technology and motion capture systems. His 2024 work presents a holistic framework for scalable, marker-less motion capturing, addressing one of virtual reality's most persistent challenges: accurate and affordable input tracking. By evaluating skeletal tracking performance, sensor fusion algorithms, and real-world automotive applications, this research bridges cutting-edge VR engineering with practical industrial deployment. Together, these contributions reveal a researcher with a rare interdisciplinary range — connecting the societal implications of automation with the technical infrastructure driving it — making Otto's work particularly relevant for students and scholars interested in the intersection of technology, labor, and human experience.
Research Focus
Key Achievements
Top Papers
- 1
- 2