Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking

  • Kathryn Stofer University of Florida
  • Xuan Che National Institutes of Health
Keywords: scientific data visualizations, expert-novice, scaffolding, meaning-making, eye-tracking


Spatially-based scientific data visualizations are becoming widely available, yet they are often not optimized for novice audiences. This study follows after an investigation of ex-pert and novice meaning-making from scaffolded data visualizations using clinical inter-views. Using eye-tracking and concurrent interviewing, we examined quantitative fixation and AOI data and qualitative scan path data for two expertise groups (N = 20) on five versions of scaffolded global ocean data visualizations. We found influences of expertise, scaffolding, and trial. In accordance with our clinical interview findings, experts use dif-ferent meaning-making strategies from novices, but novice performance improves with scaffolding and guided practice, providing triangulation. Eye-tracking data also provide insight on meaning-making and effectiveness of scaffolding that clinical interviews alone did not.
How to Cite
Stofer, K., & Che, X. (2014). Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking. Journal of Eye Movement Research, 7(5).