Overview of Immersive Data Visualization: Enhancing Insights and Engagement Through Virtual Reality
Keywords:
Data Visualization, Data Analysis, 3D visualization, Immersive Virtual RealityAbstract
In recent years, the explosion of data has been immense, especially in terms of volume and velocity which poses a new challenge in the visualization of data and extracting patterns from it efficiently. Visualization is one the most critical aspects of data analysis as it also helps in the selection of an appropriate model for machine learning. However, this changes when we are dealing with complex data or hyper-dimensional datasets. 2D visualization of this complex or hyper-dimensional dataset can be hard to visualize owing to the inherent loss of information due to spatial constraints which consequently hinders the extraction of meaningful patterns for the development of machine learning models. In recent years, there has been substantial advancement in immersive technologies like Virtual Reality, Augmented Reality, Mixed Reality and adoption in various sectors especially in gaming, entertainment, and training. However, when it comes to data analysis and data visualization, immersive technology is at an emerging stage but has promising potential. This review research paper, through a series of application domains, aims to uncover this promising potential of virtual reality by shedding light on its capabilities and its limitations in representing complex and hyper-dimensional data to uncover new insights, pattern recognition, and decision-making processes.
References
B. K. K. Vellingiri Jayagopal, “Data Management and Big Data Analytics: Data Management in Digital Economy,” IGI Glob., p. 23, 2019.
A. D. C. Donalek, S. Djorgovski, Scott Davidoff, Alexandru Cioc, A. Wang, G. Longo, J. Norris, Jerry Zhang, E. Lawler, Stacy Yeh, A. Mahabal, M. Graham, “Immersive and collaborative data visualization using virtual reality platforms,” 2014 IEEE Int. Conf. Big Data (Big Data), pp. 609–614, 2014.
C. Donalek et al., “Immersive and collaborative data visualization using virtual reality platforms,” Proc. - 2014 IEEE Int. Conf. Big Data, IEEE Big Data 2014, pp. 609–614, 2014, doi: 10.1109/BIGDATA.2014.7004282.
J. W. T. U. . Mary Anne Fisherkeller(SLAC), Jerome H. Friedman(SLAC), “An Interactive Multidimensional Data Display and Analysis System,” p. 29, 1974.
M. Csikszentmihalyi, “Flow and the foundations of positive psychology: The collected works of Mihaly Csikszentmihalyi,” Flow Found. Posit. Psychol. Collect. Work. Mihaly Csikszentmihalyi, pp. 1–298, Apr. 2014, doi: 10.1007/978-94-017-9088-8/COVER.
M. S. and F. S. arsten Klein EMAIL logo, “immersive analytics: An overview,” Inf. Technol., 2022.
M. Rao and M. Dawarwadikar, “Immersive Visualizations Using Augmented Reality and Virtual Reality,” Encycl. Comput. Graph. Games, pp. 932–938, 2024, doi: 10.1007/978-3-031-23161-2_395.
J. Zhao, J. O. Wallgrün, P. C. LaFemina, J. Normandeau, and A. Klippel, “Harnessing the power of immersive virtual reality - visualization and analysis of 3D earth science data sets,” Geo-spatial Inf. Sci., vol. 22, no. 4, pp. 237–250, Oct. 2019, doi: 10.1080/10095020.2019.1621544.
C. L. M. Laurie A. Schintler, “Encyclopedia of Big Data,” pp. 38–42, 2022.
J. Moloney, B. Spehar, A. Globa, and R. Wang, “The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight,” J. Big Data, vol. 5, no. 1, pp. 1–19, Dec. 2018, doi: 10.1186/S40537-018-0158-Z/FIGURES/8.
C. O. Carlos Flavián, Sergio Ibáñez-Sánchez, “The impact of virtual, augmented and mixed reality technologies on the customer experience,” J. Bus. Res., vol. 100, pp. 547–560, 2019.
C. Flavián, S. Ibáñez-Sánchez, and C. Orús, “The impact of virtual, augmented and mixed reality technologies on the customer experience,” J. Bus. Res., vol. 100, pp. 547–560, Jul. 2019, doi: 10.1016/J.JBUSRES.2018.10.050.
H. H. &Lisha C. Andreas Buja,Deborah F Swayne,Michael L Littman,Nathaniel Dean, “Data Visualization With Multidimensional Scaling,” J. Comput. Graph. Stat., vol. 17, no. 2, pp. 444–472, 2008.
“Best Analytics and Business Intelligence Platforms Reviews 2024 | Gartner Peer Insights.” Accessed: May 24, 2024. [Online]. Available: https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms
J. A. M. & W. S. Jerome H. Friedman, “Graphical Methods of Exploratory Data Analysis,” vol. 24, pp. 45–55.
A. Inselberg, “Multidimensional detective,” Proc. IEEE Symp. Inf. Vis., pp. 100–107, 1997, doi: 10.1109/INFVIS.1997.636793.
A. Inselberg, “Multidimensional detective,” pp. 100–107, 1997.
A. B. J. A. M. J. M. W. Stuetzle, “Interactive data visualization using focusing and linking,” pp. 156–163, 1991.
N. E. P. D. J.-D. Fekete, “Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation,” IEEE Trans. Vis. Comput. Graph., vol. 14, no. 6, pp. 1539–1148, 2008.
M. Cordeil, A. P. Cunningham, A. P. Dwyer, A. P. H. Thomas, and A. P. Marriott, “ImAxes: Immersive Axes as Embodied Affordances for Interactive Multivariate Data Visualisation,” pp. 71–83, 2017.
T. S. Caroline Stefani a, Adam Lacy-Hulbert a, “ConfocalVR: Immersive Visualization for Confocal Microscopy,” J. Mol. Biol., vol. 430, no. 21, pp. 4028–4035, 2018.
C. M. Schürch et al., “Erratum: Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front (Cell (2020) 182(5) (1341–1359.e19), (S0092867420308709), (10.1016/j.cell.2020.07.005)),” Cell, vol. 183, no. 3, p. 838, 2020, doi: 10.1016/j.cell.2020.10.021.
Z. A. & P. M. Mark A. Livingston, Lawrence J. Rosenblum, Dennis G. Brown, Gregory S. Schmidt, Simon J. Julier, Yohan Baillot, J. Edward Swan II, “Military Applications of Augmented Reality,” pp. 671–706, 2011.
“(PDF) The Role of Augmented Reality in Defensive Activities.” Accessed: May 24, 2024. [Online]. Available: https://www.researchgate.net/publication/328580806_The_Role_of_Augmented_Reality_in_Defensive_Activities
M. Kraus et al., “Immersive Analytics with Abstract 3D Visualizations: A Survey,” Comput. Graph. Forum, vol. 41, no. 1, pp. 201–229, Feb. 2022, doi: 10.1111/CGF.14430.
P. Millais, S. L. Jones, and R. Kelly, “Exploring data in virtual reality: Comparisons with 2d data visualizations,” Conf. Hum. Factors Comput. Syst. - Proc., vol. 2018-April, Apr. 2018, doi: 10.1145/3170427.3188537.
S. Jaeger et al., “Challenges for brain data analysis in VR environments,” IEEE Pacific Vis. Symp., vol. 2019-April, pp. 42–46, Apr. 2019, doi: 10.1109/PACIFICVIS.2019.00013.
P. Isenberg, B. Lee, H. Qu, and M. Cordeil, “Immersive Visual Data Stories,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 11190 LNCS, pp. 165–184, 2018, doi: 10.1007/978-3-030-01388-2_6.
J. Kotlarek et al., “A Study of Mental Maps in Immersive Network Visualization,” IEEE Pacific Vis. Symp., vol. 2020-June, pp. 1–10, Jun. 2020, doi: 10.1109/PACIFICVIS48177.2020.4722.
S. Shah, V. Khalique, S. Saddar, and N. A. Mahoto, “A Framework for Visual Representation of Crime Information,” Indian J. Sci. Technol., vol. 10, no. 40, pp. 1–8, Dec. 2017, doi: 10.17485/IJST/2017/V10I40/120079.
C. Nyce, “Predictive Analytics White Paper”, Accessed: May 24, 2024. [Online]. Available: www.aicpcu.org
A. Reehl and S. Sharma, “Data visualization of crime data using immersive virtual reality,” Electron. Imaging, vol. 34, no. 12, pp. 1–5, Jan. 2022, doi: 10.2352/EI.2022.34.12.ERVR-187.
A. Bayyari and M. E. Tudoreanu, “The impact of immersive virtual reality displays on the understanding of data visualization,” Proc. ACM Symp. Virtual Real. Softw. Technol. VRST, pp. 368–371, 2006, doi: 10.1145/1180495.1180570.
A. Van Dam, D. H. Laidlaw, and R. M. Simpson, “Experiments in Immersive Virtual Reality for Scientific Visualization,” Comput. Graph., vol. 26, no. 4, pp. 535–555, Aug. 2002, doi: 10.1016/S0097-8493(02)00113-9.
B. Lee, M. Sedlmair, and D. Schmalstieg, “Design Patterns for Situated Visualization in Augmented Reality,” IEEE Trans. Vis. Comput. Graph., vol. 30, no. 1, pp. 1324–1335, Jan. 2024, doi: 10.1109/TVCG.2023.3327398.
L. Emerson, R. Lipinski, H. Shirey, T. Malloy, and T. Marrinan, “Enabling Collaborative Interaction with 360° Panoramas between Large-scale Displays and Immersive Headsets,” Proc. - 2021 IEEE Int. Symp. Mix. Augment. Real. Adjunct, ISMAR-Adjunct 2021, pp. 183–188, 2021, doi: 10.1109/ISMAR-ADJUNCT54149.2021.00045.
J. Kreimeier et al., “Evaluation of Dierent Types of Haptic Feedback Influencing the Task-based Presence and Performance in Virtual Reality,” ACM Int. Conf. Proceeding Ser., pp. 289–298, Jun. 2019, doi: 10.1145/3316782.3321536.
A. Palacios-Ibáñez, M. Alonso-García, M. Contero, and J. D. Camba, “The Influence of Hand Tracking and Haptic Feedback for Virtual Prototype Evaluation in the Product Design Process,” J. Mech. Des., vol. 145, no. 4, Apr. 2023, doi: 10.1115/1.4055952/1147549.
H. Kim, L. Hernaggi, P. J. B. Jackson, and A. Hilton, “Immersive spatial audio reproduction for VR/AR using room acoustic modelling from 360° images,” 26th IEEE Conf. Virtual Real. 3D User Interfaces, VR 2019 - Proc., pp. 120–126, Mar. 2019, doi: 10.1109/VR.2019.8798247.
A. Febretti et al., “CAVE2: a hybrid reality environment for immersive simulation and information analysis,” Eng. Real. Virtual Real. 2013, vol. 8649, p. 864903, Mar. 2013, doi: 10.1117/12.2005484.
F. F. Gallo, H.-Y. Wu, and L. Sassatelli, “Human Trajectory Forecasting in 3D Environments,” pp. 57–63, Apr. 2024, doi: 10.1145/3652212.3652223.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 50SEA
This work is licensed under a Creative Commons Attribution 4.0 International License.