Maximilian Wittmann

Maximilian Wittmann

Associated Researcher

Maximilian Wittmann Digitale Technologien

 

Maximilian Wittmann is an associated researcher at the Gamification & Digital Customer Engagement research group. Mr. Wittmann’s research focuses on gamification for Artificial intelligence (AI), in particular to improve the collaboration between humans and intelligent autonomous systems. His research is at the intersection of human-machine interaction, behavioural design, psychology, and software engineering (especially AI). He investigates which design principles of digital games can improve collaboration between humans and AI. Mr. Wittmann investigates how gamification can contribute to human-centered Artificial Intelligence (AI) and how it can increase the technology acceptance of AI in our society.

Mr. Wittmann holds a M. Sc. in Mechanical Engineering and a B. Sc. in International Production Engineering and Management from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Over the course of his studies, he studied abroad in Shanghai (Fudan University) and in Singapore (Curtin Singapore) and completed an internship abroad at Robert Bosch GmbH in Aranjuez (Madrid). In addition, Mr. Wittmann has worked as an intern in industrial companies (e.g. at ZF Friedrichshafen AG, Robert Bosch GmbH) as well as a student researcher at several institutes at FAU. In 2019, he founded a company where he offers online courses and coaching on the topics of Industry 4.0 and object-oriented programming. He has also published a book on the fundamentals of Industry 4.0. Prior to joining this research group, Mr. Wittmann worked as a software developer and consultant at prisma informatik GmbH in Nuremberg and as a scientific researcher at the Technical University of Denmark (DTU). At DTU, he explored how digital immersive technologies (e.g. VR, AR, wearables, digital twins) can be used for the therapy of stroke patients in collaboration with exoskeleton robots. He also examined the role that these technologies play in establishing long-term behaviour change of patients.

2023

2022

2018