Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Age Differences | 1 |
| College Students | 1 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Eye Movements | 1 |
| Graphs | 1 |
| Incidence | 1 |
| Individual Differences | 1 |
| Reaction Time | 1 |
| Relationship | 1 |
| More ▼ | |
Source
| Grantee Submission | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Illinois (Chicago) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full text
Direct linkMichal, Audrey L.; Uttal, David; Shah, Priti; Franconeri, Steven L. – Grantee Submission, 2016
Linking relations described in text with relations in visualizations is often difficult. We used eye tracking to measure the optimal way to extract such relations in graphs, college students, and young children (6- and 8-year-olds). Participants compared relational statements ("Are there more blueberries than oranges?") with simple…
Descriptors: Eye Movements, Graphs, College Students, Young Children
