The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Impact of Foveated Rendering on Procedural Task Training
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“Three employed the 3D Systems Geomagic Touch [68, 87, 88], one used the Geomagic Touch X [89] and one used the LapMentor III surgical platform [45].”
From A systematic review of immersive virtual reality for industrial skills training (2021) · cites this paper as [87]
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Cites
Learning hatching for pen-and-ink illustration of surfaces
Kalogerakis, E., Nowrouzezahrai, D., Breslav, S., & Hertzmann, A. (2012) · ACM Transactions on Graphics · doi:10.1145/2077341.2077342 · Cited by 642
Matching Real Fabrics with Micro-Appearance Models
Khungurn, P., Schroeder, D., Zhao, S., Bala, K., & Marschner, S. (2015) · ACM Transactions on Graphics · doi:10.1145/2818648 · Cited by 520
Towards foveated rendering for gaze-tracked virtual reality
Patney, A., Salvi, M., Kim, J., Kaplanyan, A., Wyman, C., Benty, N., Luebke, D., & Lefohn, A. (2016) · ACM Transactions on Graphics · doi:10.1145/2980179.2980246 · Cited by 491
Guenter, B., Finch, M., Drucker, S., Tan, D., & Snyder, J. (2012) · ACM Transactions on Graphics · doi:10.1145/2366145.2366183 · Cited by 378
Foveated imaging for near-eye displays
Tan, G., Lee, Y., Zhan, T., Yang, J., Liu, S., Zhao, D., & Wu, S.-T. T. (2018) · Optics Express · doi:10.1364/oe.26.025076 · Cited by 131
Perceptually-based foveated virtual reality
Patney, A., Kim, J., Salvi, M., et al. (2016) · ACM SIGGRAPH Emerging Technologies · doi:10.1145/2929464.2929472 · Cited by 106
Meng, X., Du, R., Zwicker, M., et al. (2018) · Proceedings of the ACM on Computer Graphics and Interactive Techniques · doi:10.1145/3203199 · Cited by 98
User, metric, and computational evaluation of foveated rendering methods
Swafford, N. T., Iglesias-Guitián, J. A., Koniaris, B., et al. (2016) · ACM Symposium on Applied Perception · doi:10.1145/2931002.2931011 · Cited by 80
Foveated Pipeline for AR/VR Head‐Mounted Displays
Bastani, B., Turner, E., Vieri, C., et al. (2017) · Information Display · doi:10.1002/j.2637-496x.2017.tb01040.x · Cited by 37
Cited by
A systematic review of immersive virtual reality for industrial skills training
Radhakrishnan, U., Koumaditis, K., & Chinello, F. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2021.1954693 · Cited by 200
Metadata
- Authors
- Radkowski, R., & Raul, S.
- Affiliations
- Iowa State University (US)
- Corresponding author
- Radkowski, Rafael
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 258-267
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2960883971
- Cited by
- 5
- References
- 9
- Citations by year
- 2026: 1 · 2023: 1 · 2021: 3
- FWCI
- 0.61
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Keywords
- foveated rendering, virtual reality, eye tracking, task performance, fovea, peripheral vision, technical limitations, user perception
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Impact of Foveated Rendering on Procedural Task Training. https://app.cochat.ai/papers/10.1007/978-3-030-21607-8_20
- The paper
- Radkowski, R., & Raul, S. (2019). Impact of Foveated Rendering on Procedural Task Training. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-21607-8_20
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
