The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Augmented and Virtual Reality Evolution and Future Tendency
Open accessAbstract
Augmented reality and virtual reality technologies are increasing in popularity. Augmented reality has thrived to date mainly on mobile applications, with games like Pokémon Go or the new Google Maps utility as some of its ambassadors. On the other hand, virtual reality has been popularized mainly thanks to the videogame industry and cheaper devices. However, what was initially a failure in the industrial field is resurfacing in recent years thanks to the technological improvements in devices and processing hardware. In this work, an in-depth study of the different fields in which augmented and virtual reality have been used has been carried out. This study focuses on conducting a thorough scoping review focused on these new technologies, where the evolution of each of them during the last years in the most important categories and in the countries most involved in these technologies will be analyzed. Finally, we will analyze the future trend of these technologies and the areas in which it is necessary to investigate to further integrate these technologies into society.
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Cites
Defining virtual reality: Dimensions determining telepresence
Steuer, J. (1992) · Journal of Communication · doi:10.1111/j.1460-2466.1992.tb00812.x · Cited by 5,459
Virtual reality in neuroscience research and therapy
Bohil, C. J., Alicea, B., & Biocca, F. A. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3122 · Cited by 1,108
First person experience of body transfer in virtual reality
Slater, M., Spanlang, B., Sanchez-Vives, M. V., & Blanke, O. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010564 · Cited by 1,090
Pose estimation for augmented reality: a hands-on survey
Marchand, E., Uchiyama, H., & Spindler, F. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2513408 · Cited by 746
Virtual reality social cognition training for young adults with high-functioning autism
Kandalaft, M. R., Didehbani, N., Krawczyk, D. C., Allen, T. T., & Chapman, S. B. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1544-6 · Cited by 697
Virtual reality exposure therapy in anxiety disorders: a quantitative meta-analysis
Opriş, D., Pintea, S., García-Palacios, A., Botella, C., Szamosközi, Ş., & David, D. (2012) · Depression and Anxiety · doi:10.1002/da.20910 · Cited by 636
Riva, G., Baños, R. M., Botella, C., Mantovani, F., & Gaggioli, A. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00164 · Cited by 425
Optale, G., Urgesi, C., Busato, V., Marin, S., Piron, L., Priftis, K., Gamberini, L., Capodieci, S., & Bordin, A. (2010) · Neurorehabilitation and Neural Repair · doi:10.1177/1545968309353328 · Cited by 318
Visualizing big data with augmented and virtual reality: Challenges and research agenda
Olshannikova, E., Ometov, A., Koucheryavy, Y., & Olsson, T. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0031-2 · Cited by 315
Augmented Reality in built environment: Classification and implications for future research
Wang, X., Kim, M. J., Love, P. E. D., & Kang, S.-C. (2013) · Automation in Construction · doi:10.1016/j.autcon.2012.11.021 · Cited by 293
Cited by
AlGerafi, M. A. M., Zhou, Y., Oubibi, M., & Wijaya, T. T. (2023) · Electronics · doi:10.3390/electronics12183953 · Cited by 373
Imoize, A. L., Adedeji, O., Tandiya, N., & Shetty, S. (2021) · Sensors · doi:10.3390/s21051709 · Cited by 281
Lampropoulos, G., Keramopoulos, E., Diamantaras, K., & Evangelidis, G. (2022) · Education Sciences · doi:10.3390/educsci12110798 · Cited by 119
Găină, M.-A., Szalontay, A. S., Ștefănescu, G., Bălan, G. G., Ghiciuc, C. M., Boloș, A., Găină, A.-M., & Ștefănescu, C. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11061670 · Cited by 44
Ribé-Viñes, J. M., Gutiérrez-Maldonado, J., Zabolipour, Z., & Ferrer-Garcia, M. (2023) · The Cognitive Behaviour Therapist · doi:10.1017/s1754470x23000119 · Cited by 19
Metadata
- Authors
- Muñoz-Saavedra, L., Miró-Amarante, L., & Domínguez-Morales, M.
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2020-01-01
- Volume
- 10
- Issue
- 1
- Pages
- 322
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W2997470606
- Cited by
- 199
- References
- 12
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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