Profile

The research area of the department includes the acquisition and modelling of subjective perception of Quality of Experience (QoE) of media data and technical systems, as well as the user-centric optimisation of technical systems. Crowdsourcing is another central research focus of the department and is primarily used in the implementation of large-scale user studies.

Fields of research

  • Evaluation and modelling of the Quality of Experience
  • User-centered analysis and optimization of technical systems
  • Analysis of crowdsourcing applications

Current projects

ÖV-LeitmotiF-KI - Public transport: standards for the control system connection of automated vehicles using artificial intelligence

NetÖV - Networking of digital knowledge and learning platforms for personalized training and cooperative knowledge exchange in the mobility industry

Human-AI Collaboration for Scalable and High-Quality Segmentation of Visual Media

MoDaS