Self-Explanatory Visual Analytics for Data-Driven Insight Discocovery

01.01.2020 - 31.12.2023
Research funding project

In order to support users in learning novel visual data analysis tools more quickly, the main goal of the project is to design and develop onboarding methods for visual analytics systems that can be automatically generated. With data journalism and biomedical R&D, the project is targeting two diverse application domains. With appropriate onboarding methods the user experience as well as the understanding of visual data analysis tools for large and complex data sets will be enhanced. Methodologically, we will design, build, and evaluate proof-of-concept prototypes along an iterative user- and problem-oriented research process. Innovations on a technical-scientific level in a still rarely researched are are made possible and concrete onboarding concepts will be realized and targeted towards the application domains. In addition, market advantages for the involved company partners will emerge.

People

Project leader

Institute

Grant funds

  • FFG - Österr. Forschungsförderungs- gesellschaft mbH (National) Programme IKT der Zukunft Austrian Research Promotion Agency (FFG) Specific program IKT der Zukunft

Research focus

  • Visual Computing and Human-Centered Technology: 100%

Keywords

GermanEnglish
Onboarding, Visual Analytics, Guidance, E-Learningonboarding, visual analytics, guidance, e-learning

External partner

  • Fachhochschule St. Pölten

Publications