Expertise Differences in the Comprehension of Visualizations: a Meta-Analysis of Eye-Tracking Research in Professional Domains
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With the development of domain-specific expertise, those with more experience are thought to be able to chunk related concepts together in elaborated schemas, thus maximizing the efficiency of their working memory.
“With the development of domain-specific expertise, those with more experience are thought to be able to chunk related concepts together in elaborated schemas, thus maximizing the efficiency of their working memory (Gegenfurtner et al. 2011;Sweller et al. 1998).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Gegenfurtner et al. 2011
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Detection of Terrorist Threats in Air Passenger Luggage: Expertise Development
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Effects of Mode of Instruction, Testing, Order of Testing, and Cued Recall on Student Achievement
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Eye Movement Analysis of Artists and Nonartists Viewing Paintings
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Investigating drivers' visual search strategies : towards an efficient training intervention
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Seizing Workplace Learning Affordances in High-Pressure Work Environments
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Decision making and visual strategies of boxers in a simulated problem solving situation
Ripoll, H. (1993) · Medical Entomology and Zoology · Cited by 3 · see citing works
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Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning
Rau, M. A. (2017) · Educational Psychology Review · doi:10.1007/s10648-016-9365-3 · Cited by 281 · see citing works
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Rong, Y., Leemann, T., Nguyen, T.-T., Fiedler, L., Qian, P., Unhelkar, V., Seidel, T., Kasneci, G., & Kasneci, E. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3331846 · Cited by 278 · see citing works
Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool
Szulewski, A., Gegenfurtner, A., Howes, D. W., Sivilotti, M. L. A., & van Merriënboer, J. J. G. (2017) · Advances in Health Sciences Education · doi:10.1007/s10459-016-9725-2 · Cited by 94 · see citing works
Self-citationSzulewski, A., Roth, N., & Howes, D. (2015) · Academic Medicine · doi:10.1097/acm.0000000000000677 · Cited by 84 · see citing works
Transfer of expertise: An eye tracking and think aloud study using dynamic medical visualizations
Gegenfurtner, A., & Seppänen, M. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.12.021 · Cited by 58 · see citing works
Self-citationOje, A. V., Hunsu, N. J., & Fiorella, L. (2025) · Educational Research Review · doi:10.1016/j.edurev.2025.100676 · Cited by 36 · see citing works
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- Authors
- Gegenfurtner, A., Lehtinen, E., & Säljö, R.
- Affiliations
- University of Turku (FI)
- Corresponding author
- Gegenfurtner, Andreas
- Venue
- Educational Psychology Review
- Published
- 2011-07-26
- Volume
- 23
- Issue
- 4
- Pages
- 523-552
- ISSN
- 1040-726X (ISSN-L)
- 1573-336X
- OpenAlex
- W1987675072
- Cited by
- 715
- References
- 131
- Citations by year
- 2026: 68 · 2025: 61 · 2024: 62 · 2023: 78 · 2022: 60 · 2021: 61 · 2020: 62 · 2019: 44 · 2018: 53 · 2017: 49 · 2016: 29 · 2015: 29 · 2014: 28 · 2013: 19 · 2012: 12
- FWCI
- 2.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Educational Psychology Review (publishedVersion)
- OPUS (Augsburg University) (submittedVersion)
- Funders
- Academy of Finland
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- expertise differences, visualization comprehension, eye movements, fixation, saccades, long-term working memory, visual expertise, novices and experts, parafoveal processing, selective attention, visualization design, learning environment design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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