Comparing Experts and Novices on Scaffolded Data Visualizations using 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 c...

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Main Authors: Kathryn Stofer, Xuan Che
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/2389
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author Kathryn Stofer
Xuan Che
author_facet Kathryn Stofer
Xuan Che
author_sort Kathryn Stofer
collection DOAJ
description 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.
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publishDate 2014-12-01
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record_format Article
series Journal of Eye Movement Research
spelling doaj-art-4d60ed9675d541aa92cf2e582a9e407a2025-08-20T02:27:54ZengMDPI AGJournal of Eye Movement Research1995-86922014-12-017510.16910/jemr.7.5.2Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-trackingKathryn Stofer0Xuan Che1University of FloridaNational Institutes of HealthSpatially-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.https://bop.unibe.ch/JEMR/article/view/2389scientific data visualizationsexpert-novicescaffoldingmeaning-makingeye-tracking
spellingShingle Kathryn Stofer
Xuan Che
Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
Journal of Eye Movement Research
scientific data visualizations
expert-novice
scaffolding
meaning-making
eye-tracking
title Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
title_full Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
title_fullStr Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
title_full_unstemmed Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
title_short Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
title_sort comparing experts and novices on scaffolded data visualizations using eye tracking
topic scientific data visualizations
expert-novice
scaffolding
meaning-making
eye-tracking
url https://bop.unibe.ch/JEMR/article/view/2389
work_keys_str_mv AT kathrynstofer comparingexpertsandnovicesonscaffoldeddatavisualizationsusingeyetracking
AT xuanche comparingexpertsandnovicesonscaffoldeddatavisualizationsusingeyetracking