Supervisor: Torsten Möller, Laura Koesten
This project investigates the differences between objective and subjective evaluations of data visualizations, focusing on understanding and perceived understanding. You will conduct a study in which participants view a series of data visualizations and complete different tasks, including ones that measure their understanding. Participants will also provide feedback on perceived complexity, alongside other dimensions that describe their data visualization perception. You will also collect demographic information (age, sex) and experience factors (familiarity with data visualization, political leanings).
Key challenges include:
- Comparing objective vs. subjective evaluations of complexity and understanding.
- Designing an experimental set-up and conducting a study.
- Analyzing how demographics and experience influence evaluations.
Prerequisites: VIS, FDA
Programming languages: Python or R
Contact: Torsten Möller, Laura Koesten