Visual Questionnaire Analytics
© VisQuA project team
Project information
submitted by
Dora Kiesel
Co-Authors
Ramakrishnareddy Parvatareddy, Daniel Radianto, Theresa Genßler, Abhishek Patil
Mentors
Dora Kiesel, Irene Lopez Garcia, Prof. Bernd Fröhlich
Faculty:
Media
Degree programme:
Computer Science and Media (english) (Master of Science (M.Sc.)),
Human-Computer Interaction (Master of Science (M.Sc.)),
Digital Engineering (Master of Science (M.Sc.))
Type of project presentation
Research project
Semester
Summer semester 2026
- Bauhausstraße 11
(VR Labor - Raum N104)
Freitag, 17 - 22 Uhr (Open Lab Night)
Project description
Questionnaires are one of the most commonly used methods for collecting data, whether for a perception study, an opinion poll, or social science field research. The evaluation of these questionnaires is usually subject to standard statistical procedures that consider each question separately. Correlations between answers or connections to orthogonal information, such as the demographics of the participants, are often overlooked.
As part of this student project, the students developed visualization and interaction techniques that allow the interactive visual analysis of a cybersecurity dataset. Multiple interactively connected visualizations provide deep insights into information sources, awareness, and behavior regarding cybersecurity of 2,000 Swedish citizens across different age groups, education levels, and genders.