The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions
Open accessAbstract
This manuscript identifies and documents unsolved problems and research challenges in the extended reality (XR) domain (i.e., virtual (VR), augmented (AR), and mixed reality (MR)). The manuscript is structured to include technology, design, and human factor perspectives. The text is visualization/display-focused, that is, other modalities such as audio, haptic, smell, and touch, while important for XR, are beyond the scope of this paper. We further narrow our focus to mainly geospatial research, with necessary deviations to other domains where these technologies are widely researched. The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences. Aside from the research challenges identified based on a comprehensive literature review, we provide case studies with original results from our own studies in each section as examples to demonstrate the relevance of the challenges in the current research. We believe that this paper will be of relevance to anyone who has scientific interest in extended reality, and/or uses these systems in their research.
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Citations
Cites
Cognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048 · cited 1×
“A cross-cutting concept that is relevant to all of the above is cognitive load [145] (i.”
BackgroundMeasuring Presence in Virtual Environments: A Presence Questionnaire
Witmer, B. G., & Singer, M. J. (1998) · Presence: Teleoperators and Virtual Environments · doi:10.1162/105474698565686 · Cited by 6,371
Slater, M., & Wilbur, S. (1997) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.1997.6.6.603 · Cited by 3,034
Batty, M. (2018) · Environment and Planning B: Urban Analytics and City Science · doi:10.1177/2399808318796416 · Cited by 551 · cited 2×
“Due to smart devices and IoT, every entity can theoretically emit real-time data to their digital twin [35].”
BackgroundStereoscopic 3D displays and human performance: A comprehensive review
McIntire, J. P., Havig, P. R., & Geiselman, E. E. (2014) · Displays · doi:10.1016/j.displa.2013.10.004 · Cited by 225
Napier, J. (1993) · doi:10.1515/9781400845910 · Cited by 198
Scalable Webcam Eye Tracking by Learning from User Interactions
Papoutsaki, A. (2015) · Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/2702613.2702627 · Cited by 92
Cited by
Ullah, H., Manickam, S., Obaidat, M., Laghari, S. U. A., & Uddin, M. (2023) · IEEE Access · doi:10.1109/access.2023.3286696 · Cited by 198
Metadata
- Authors
- Çöltekin, A., Lochhead, I., Madden, M., Christophe, S., Devaux, A., Pettit, C., Lock, O., Shukla, S., Herman, L., Stachoň, Z., Kubíček, P., Snopková, D., Bernardes, S., & Hedley, N.
- Venue
- ISPRS International Journal of Geo-Information
- Publisher
- MDPI AG
- Published
- 2020-07-15
- Volume
- 9
- Issue
- 7
- Pages
- 439
- ISSN
- 2220-9964 (ISSN-L)
- OpenAlex
- W3042728352
- Cited by
- 290
- References
- 7
- FWCI
- 13.34
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
