The DOI matches its Crossref record.
The VR Book
Abstract
Virtual reality (VR) can provide our minds with direct access to digital media in a way that seemingly has no limits. However, creating compelling VR experiences is an incredibly complex challenge. When VR is done well, the results are brilliant and pleasurable experiences that go beyond what we can do in the real world. When VR is done badly, not only is the system frustrating to use, but it can result in sickness. There are many causes of bad VR; some failures come from the limitations of technology, but many come from a lack of understanding perception, interaction, design principles, and real users. This book discusses these issues by emphasizing the human element of VR. The fact is, if we do not get the human element correct, then no amount of technology will make VR anything more than an interesting tool confined to research laboratories. Even when VR principles are fully understood, the first implementation is rarely novel and almost never ideal due to the complex nature of VR and the countless possibilities that can be created. The VR principles discussed in this book will enable readers to intelligently experiment with the rules and iteratively design towards innovative experiences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
State of the art of virtual reality technology
Anthes, C., Garcia-Hernandez, R. J., Wiedemann, M., & Kranzlmuller, D. (2016) · 2016 IEEE Aerospace Conference · doi:10.1109/aero.2016.7500674 · Cited by 541
Birckhead, B., Khalil, C., Liu, X., Conovitz, S., Rizzo, A., Danovitch, I., Bullock, K., & Spiegel, B. (2019) · JMIR Mental Health · doi:10.2196/11973 · Cited by 372
Effective virtual patient simulators for medical communication training: A systematic review
Lee, J., Kim, H., Kim, K. H., Jung, D., Jowsey, T., & Webster, C. S. (2020) · Medical Education · doi:10.1111/medu.14152 · Cited by 210
Contero, M., Olmos-Raya, E., Ferreira-Cavalcanti, J., Castellanos, M. C., Giglioli, I. A. C., & Alcañiz, M. (2018) · EURASIA Journal of Mathematics, Science and Technology Education · doi:10.29333/ejmste/85874 · Cited by 83
Yang, S., & Zhang, W. (2022) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2021.0037 · Cited by 49
Metadata
- Authors
- Jerald, J.
- Venue
- ACM eBooks
- Publisher
- Association for Computing Machinery
- Published
- 2015-10-29
- OpenAlex
- W4243250497
- Cited by
- 658
- References
- 0
- FWCI
- 7.61
- Type
- book
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The VR Book. https://app.cochat.ai/papers/10.1145/2792790
- The paper
- Jerald, J. (2015). The VR Book. ACM eBooks. https://doi.org/10.1145/2792790
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.