User Experience and Interaction Design Evaluation of Immersive Virtual Reality Interfaces for 3D Data Visualization in Complex Information Environments
Keywords:
Immersive Virtual Reality, 3D Data Visualization, User Experience, Spatial Understanding, Task Efficiency, Data Exploration, Interaction DesignAbstract
The increasing volume and complexity of data have made traditional 2D visualization methods insufficient for effectively exploring and understanding high-dimensional datasets. Immersive Virtual Reality (VR) presents a promising solution by providing an interactive 3D environment that enhances spatial understanding, task efficiency, and user satisfaction. This research aims to evaluate the user experience (UX) and interaction design quality of immersive VR interfaces for 3D data visualization in complex environments. The study employs a mixed-methods approach, combining usability testing, UX questionnaires, and task-based performance analysis. Participants interacted with VR prototypes designed to visualize complex data and were assessed on their ability to manipulate and explore the data efficiently. The findings show that immersive VR interfaces significantly improve spatial comprehension, reduce cognitive load, and increase task performance efficiency compared to traditional 2D systems. Additionally, user satisfaction was notably high, with participants appreciating the intuitive and engaging interaction methods. The study concludes that immersive VR can provide substantial benefits in real-world data visualization applications, particularly in domains requiring the exploration of complex and high-dimensional data. However, further research is needed to optimize VR interfaces and address challenges such as motion sickness and interaction complexity.
References
[1] N. D. I. Husin and N. A. S. Abdullah, “Overlapping issues and solutions in data visualization techniques,” Indones. J. Electr. Eng. Comput. Sci., vol. 16, no. 3, pp. 1600 – 1608, 2019, doi: 10.11591/ijeecs.v16.i3.pp1600-1608.
[2] P. M. Hasugian, H. Mawengkang, P. Sihombing, and S. Efendi, “Review of High-Dimensional and Complex Data Visualization,” in 2023 IEEE International Conference of Computer Science and Information Technology: The Role of Artificial Intelligence Technology in Human and Computer Interactions in the Industrial Era 5.0, ICOSNIKOM 2023, 2023. doi: 10.1109/ICoSNIKOM60230.2023.10364377.
[3] L. Yan, “Topology-Based Visualization Techniques for Scientific Data Exploration,” IEEE Comput. Graph. Appl., vol. 45, no. 4, pp. 89 – 98, 2025, doi: 10.1109/MCG.2025.3541464.
[4] J. A. Salazar, Y. R. Mochcco, and A. Barrientos, “DataVision: Virtual Reality Application for 3D Data Visualization and Analysis; [DataVision: Aplicación de Realidad Virtual para la Visualización y Análisis de Datos en 3D],” CISCI - Conf. Iberoam. en Sist. Cibern. e Inform., no. 2025, pp. 446 – 452, 2025, doi: 10.54808/CISCI2025.01.446.
[5] S. Sharma, S. T. Bodempudi, and A. Reehl, “Real-Time Data Analytics of COVID Pandemic Using Virtual Reality,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 12770 LNCS, pp. 106 – 116, 2021, doi: 10.1007/978-3-030-77599-5_9.
[6] F. Aktar and F. Maurer, “Elicitation of Interaction Techniques with 3D Data Visualizations in Immersive Environment using HMDs,” in Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022, 2022, pp. 238 – 243. doi: 10.1109/ISMAR-Adjunct57072.2022.00053.
[7] S. Baigabulov and M. T. Ipalakova, “Virtual Reality Enabled Immersive Data Visualization for Data Analysis,” in CEUR Workshop Proceedings, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192561779&partnerID=40&md5=be57ad04c49d444c56f225f3ee17a5d2
[8] G. Yue, “3D User Interface in Virtual Reality,” Commun. Comput. Inf. Sci., vol. 1498 CCIS, pp. 418 – 423, 2021, doi: 10.1007/978-3-030-90176-9_54.
[9] Y. Lu, J. Li, Z. Cui, J. Hu, Y. Lin, and S. Luo, “Designing Spatial Visualization and Interactions of Immersive Sankey Diagram in Virtual Reality,” in MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 98 – 107. doi: 10.1145/3664647.3681460.
[10] K. Azward, K. S. Lakshan, P. Sathsaranee, C. Ranasinghe, D. Sandaruwan, and D. Gamage, “Enhancing User Experience for Data Visualization in Three-Dimensional Immersive Space,” in Proceedings of 16th International Conference of Human-Computer Interaction (HCI) Design and Research 2025, IndiaHCI 2025, 2025, pp. 178 – 189. doi: 10.1145/3768633.3770131.
[11] P. Rajasagi et al., “SEEe Immersive Analytics System: Enhancing Data Analysis Experience within Complex Data Visualization Environments,” in IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, 2024, pp. 408 – 415. doi: 10.1145/3639701.3663645.
[12] R. Khadka, “Immersive Analytics in Critical Spatial Domains: From Materials to Energy Systems,” J. Chemom., vol. 39, no. 10, 2025, doi: 10.1002/cem.70076.
[13] H. Liu and R. Feng, “Research on Immersive Virtual Reality Visualization Display System Based on Big Data Technology,” in Proceedings of 2024 3rd International Conference on Artificial Intelligence and Education, ICAIE 2024, 2025, pp. 136 – 142. doi: 10.1145/3722237.3722261.
[14] K. Marriott et al., “Immersive analytics: time to reconsider the value of 3d for information visualisation,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 11190 LNCS, pp. 25 – 55, 2018, doi: 10.1007/978-3-030-01388-2_2.
[15] Y. Bozdemir and E. L.-C. Law, “Design of a Multidimensional Virtual Reality User Experience Questionnaire,” in BCS HCI 2025 - Human Centred Approaches and their Impact on AI System Design, Application, and Evaluation, 2025, pp. 481 – 487. doi: 10.14236/ewic/BCSHCI2025.54.
[16] K. Schröder, S. Kohl, and B. Ajdadilish, “NetImmerse - Evaluating User Experience in Immersive Network Exploration,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 13320 LNCS, pp. 391 – 403, 2022, doi: 10.1007/978-3-031-06018-2_27.
[17] B. R. Barricelli, A. De Bonis, S. Di Gaetano, and S. Valtolina, “Semiotic framework for virtual reality usability and ux evaluation: A pilot study,” in CEUR Workshop Proceedings, 2018. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048883004&partnerID=40&md5=4552e5235d0d980c6468b59c6dccff57
