Abstract
This study builds on past research bridging spatial visualization, psychology, and information visualization to holistically inform visualization design. We investigate the effects of chosen disciplines in psychology and math & computer science, combined with cognitive abilities and demographic differences, on visual tasks by measuring estimation of Pearson’s correlation coefficient in scatterplots. Results reveal mathematicians demonstrate greater accuracy, benefiting from domain expertise. However, psychologists with high spatial skills outperform some mathematicians with lower spatial skills. Spatial visualization, level of education, and age (inversely) correlated with quicker and more accurate responses. Findings prove that domain expertise and spatial cognition affect correlation judgments in scatterplots, supporting that individual differences should inform visualization design. This work introduces psychologists as a new target domain for visualization research and reveals the impact of combined effects of cognitive abilities and domain on the estimation and manipulation of Pearson’s correlation coefficient.
| Original language | English |
|---|---|
| Title of host publication | 28th International Conference on Information Visualisation (IV) |
| Publisher | IEEE |
| Publication status | Published - Aug 2024 |
Keywords
- Pearson's Correlation Coefficient
- Spatial Abilities
- Domain Differences
- Human Factors
- Cognition
- Perception