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Stereoscopic 3D displays and human performance: A comprehensive review
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Metadata
- Authors
- McIntire, J. P., Havig, P. R., & Geiselman, E. E.
- Affiliations
- United States Air Force Research Laboratory (US)
- Corresponding author
- McIntire, John P.
- ORCID
- McIntire, John P.
- Venue
- Displays
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 35
- Issue
- 1
- Pages
- 18-26
- ISSN
- 0141-9382 (ISSN-L)
- OpenAlex
- W2039175966
- Cited by
- 225
- References
- 81
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 15 · 2023: 11 · 2022: 27 · 2021: 19 · 2020: 24 · 2019: 24 · 2018: 22 · 2017: 20 · 2016: 13 · 2015: 13 · 2014: 14
- FWCI
- 26.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Displays (publishedVersion)
- Topics
- Physical Sciences › Engineering › Media Technology › Advanced Optical Imaging Technologies
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- stereoscopic display, human performance, depth perception, object identification, spatial manipulation, navigation, spatial memory, learning and training, virtual reality, human-computer interaction
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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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.