Funded Research Projects

Self-Explanatory Visual Analytics for Data-Driven Insight Discovery (SEVA)

Partners: Fachhochschule St. Pölten, Landsiedl Popper OG, Technische Universität Wien, FH JOANNEUM Gesellschaft mbH
Funded by: Austrian Research Promotion Agency (FFG)

SEVA aims to help people quickly learn new tools for visual data analysis. The project’s goal is to develop automatically generated onboarding methods for visual analysis systems. Appropriate onboarding methods improve the user experience and the understanding of visual data analysis tools for large and complex data sets. Proof-of-concept prototypes are methodically designed, built, and evaluated along with an iterative, user- and problem-oriented research process.