Evaluating reading habits in RTL data visualizations
Project Description
Many data visualizations are designed with left-to-right (LTR) reading habits in mind. This project investigates how people who speak right-to-left (RTL) languages (e.g., Arabic, Urdu) scan and interpret common charts (e.g., line charts, bar charts, pie charts), and how reading direction may shape their attention, comprehension, and errors.
Supervisor
NARECHANIA, Arpit Ajay
Quota
1
Course type
UROP1100
Applicant's Roles
- Design and run data visualization experiments
- Analyze behavioral data and summarize results (R or Python)
- Contribute to scientific writing (LaTeX)
- Analyze behavioral data and summarize results (R or Python)
- Contribute to scientific writing (LaTeX)
Applicant's Learning Objectives
Student will gain mentorship in research, end-to-end experience from research design to reporting, and co-authorship on a research publication.
Complexity of the project
Moderate