Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension

Author:

Quadri Ghulam Jilani1ORCID,Wang Arran Zeyu1ORCID,Wang Zhehao2ORCID,Adorno Jennifer3ORCID,Rosen Paul4ORCID,Szafir Danielle Albers1ORCID

Affiliation:

1. University of North Carolina-Chapel Hill, United States

2. Computer Science Department, University of North Carolina-Chapel Hill, United States

3. Department of Computer Science & Engineering, University of South Florida, United States

4. University of Utah, United States

Funder

National Science Foundation

Publisher

ACM

Reference141 articles.

1. Communicative Visualizations as a Learning Problem

2. Afghanistan population dataset 2023. Afghanistan population dataset. https://data.worldbank.org/indicator/SP.POP.TOTL?locations=AF.

3. Airlines 2022. Airlines Dataset. https://www.bts.gov/newsroom/2022-annual-and-4th-quarter-us-airline-financial-data.

4. Dataset to support the adoption of social media and emerging technologies for students’ continuous engagement

5. Task-driven evaluation of aggregation in time series visualization

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