
BCompSc (Germany), MCompSc (Germany)
Michael’s research explores automotive user interfaces and systems using Augmented Reality as a tool for attention management in SAE Level 3 (and higher) vehicles. The aim of this research is to improve the fallback-readiness, especially Situation Awareness, while the Automated Driving System is engaged (during the so-called non-driving related task).
DOCTORAL RESEARCH
“Attention Management to Improve Fallback-Readiness in Conditional Automated Vehicles”
THESIS SUPERVISOR
Professor Ronald Schroeter, Professor Andry Rakotonirainy and Professor Daniel Johnson (QUT Science and Engineering Faculty, School of Computer Science)
RESEARCH INTERESTS
- Human Computer Interaction
- User Interface and User Experience Design
- Augmented Reality
- Process Automation, especially Automated Driving Systems
AWARDS
2021 Best Demo – Automotive User Interfaces Conference
2018 Best Demonstration Award, Automotive User Interfaces (AutoUI) Conference, Toronto, Canada
2017 Supervisor (Bridging) Scholarship, QUT
2017 QUT International HDR Tuition Fee Sponsorship