The research investigates how work instructions can be tailored to individual cognitive constraints and how physiological signals and dynamic delivery can support and assess learning effectiveness. 

Project leader: Tamás Ruppert - University of Pannonia 

Using an eye tracker and physiological data, we checked the SA and fatigue in a real industrial environment. 

Project leader: Tuan-anh Tran and Tamás Ruppert - University of Pannonia 

Video-based industry ready ergonomy assessment of the human workers at the shop floor. R&D&I project with our industrial partner.

Project leaders: Tuan-anh Tran and Tamás Ruppert - University of Pannonia

HUMARWISE: HUman-centric Methods for Augmented Reality in adaptive Work Instruction Systems Enhancement

Project leader: Chiara Cimini - University of Bergamo

Partners:

• University of Bergamo

• University of Pannonia

• RISE Research Institutes of Sweden

Monitoring of human physical and physiological activities to evaluate the physical and cognitive loads.

Project leader: Tamás Ruppert - University of Pannonia