OLN | Beyond data tables: Welcome to the realm of visual data analysis.
Project information
submitted by
Dora Kiesel
Co-Authors
Abdalrhman Abdullah, Clemens Reinhard
Mentors
Irene López García, Dora Kiesel, Patrick Riehmann
Faculty:
Media
Degree programme:
Computer Science and Media (english) (Master of Science (M.Sc.)),
Human-Computer Interaction (Master of Science (M.Sc.))
Type of project presentation
Research project
Semester
Sommersemester2025
- Bauhausstraße 11
(VR Labor | Raum N104) - Bauhausstraße 11
(VR Labor | Raum N104)
Open Lab Night (Fr. 17-22 Uhr, Sa. 12-15 Uhr)
Project description
Information visualization provides an ideal interface for deep, human-in-the-loop data analyses, leveraging human pattern perception for a large range of analysis tasks on different subjects.
As part of the Open Lab Night, two master's thesis projects that design novel visualization and interaction techniques at the Chair of Virtual Reality and Visualization Research will present their intermediate results in the Virtual Reality Lab:
Towards a Visual Analysis of Survey Data via Stacked Parallel Sets
This thesis develops a novel extension to the popular set visualization technique Parallel Sets: It fuses the concept of stacked bar charts into the ribbons that represent groups of data with specific categorical properties. The new technique improves the visual analysis of survey data by adding new possibilities to contrast different groupings within the data.
Pose-based Multimodal Visual Analytics Framework for Performance Modelling and Coaching in Olympic 10-Meter Air Pistol Shooting
The thesis develops an interactive visual analytics framework to enhance athletic training processes by offering detailed timing analysis, pose tracking, and comparative visualization of player movements through charts, graphs, and skeleton-based representations. The system enables the identification of performance patterns and highlights areas for technical improvement.