Evaluation of User Perception in Virtual Reality: 3D Gaussian Splatting for the Design of Immersive Experiences 
Abstract
In digital heritage, emerging approaches for generating photorealistic image-based 3D models, even via low-cost devices as smartphones, have gained significant attention. Among these approaches, 3D Gaussian Splatting (3DGS) offer notable improvements in visual fidelity and realism. Despite extensive evaluation through quantitative metrics and benchmark comparisons with photogrammetry, the potential of 3DGS for immersive navigation in Virtual Reality (VR) – particularly from a user experience perspective –, is underexplored. The paper presents a comparative study of photogrammetry and 3DGS within a dedicated VR exploration framework applied to a heritage scene. Participants assess perceived visual fidelity, realism, spatial coherence, and interaction comfort in environments reconstructed with both techniques, revealing perceptual differences that are relevant for experiential and design-oriented approaches to immersive representation.
Keywords
Full Text:
PDFDOI: http://dx.doi.org/10.2423/i22394303v16n1p55
References
Apopei, A. I. (2025). 3D Gaussian Splatting in Geosciences: A Novel High-Fidelity Approach for Digitizing Geoheritage from Minerals to Immersive Virtual Tours. Geosciences, 15(10), 373. doi.org/10.3390/geosciences15100373
Bareišytė, L., Slatman, S., Austin, J., Rosema, M., Van Sintemaartensdijk, I., Watson, S., & Bode, C. (2024). Questionnaires for evaluating virtual reality: A systematic scoping review. Computers in Human Behavior Reports, 16, 100505. doi.org/10.1016/j.chbr.2024.100505
Basso, A., Condorelli, F., Giordano, A., Morena, S., & Perticarini, M. (2024). Evolution of rendering based on radiance fields. The Palermo case study for a comparison between NeRF and Gaussian splatting. ISPRS Archives, XLVIII-2/W4-2024, 57–64. doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-57-2024
Bianconi, F., Filippucci, M., Seccaroni, M., Rolando, A., & D’Uva, D. (2023). Machine learning and landscape quality. Representing visual information using deep learning-based image segmentation from street view photos. SCIRES-IT - SCIentific RESearch and Information Technology, 13(1). doi.org/10.2423/i22394303v13n1p117
Billi, D., Caroti, G., & Piemonte, A. (2025). Metric Error Assessment Regarding Geometric 3D Reconstruction of Transparent Surfaces via SfM Enhanced by 2D and 3D Gaussian Splatting. Sensors, 25(14), 4410. https://doi.org/10.3390/s25144410
Billi, D., Croce, V., Piemonte, A., & Caroti, G. (2025). 3D Reconstruction of Underwater Shipwrecks: 3D Gaussian Splatting and Structure from Motion for the Melania shipwreck. ISPRS Archives, XLVIII-2/W10- 2025, 19–25. https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-19-2025
Chen, G., & Wang, W. (2025). A Survey on 3D Gaussian Splatting (arXiv:2401.03890). Computer Vision and Pattern Recognition, arXiv.
Chertoff, D. B., Goldiez, B., & LaViola, J. J. (2010). Virtual Experience Test: A virtual environment evaluation questionnaire. 2010 IEEE Virtual Reality Conference (VR), 103–110. https://doi.org/10.1109/VR.2010.5444804
Clini, P., Nespeca, R., Angeloni, R., & Coppetta, L. (2024). 3D representation of Architectural Heritage: A comparative analysis of NeRF, Gaussian Splatting, and SfM-MVS reconstructions using low-cost sensors. ISPRS Archives, XLVIII-2/W8-2024, 93–99. doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-93-2024
De Fino, M., Galantucci, R. A., & Fatiguso, F. (2023). Condition Assessment of Heritage Buildings via Photogrammetry: A Scoping Review from the Perspective of Decision Makers. Heritage, 6(11), 7031–7067. doi.org/10.3390/heritage6110367
Dhanda, A., Reina Ortiz, M., Weigert, A., Paladini, A., Min, A., Gyi, M., Su, S., Fai, S., & Santana Quintero, M. (2019). Recreating Cultural Heritage environments for VR using photogrammetry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W9, 305–310. doi.org/10.5194/isprs-archives-XLII-2-W9-305-2019
Fadilah, W. A., Murtiyoso, A., Landes, T., & Grussenmeyer, P. (2026). Metric Assessment of 3D Gaussian Splatting for UAV-Based Urban Heritage Reconstruction. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W12-2026, 143–150. doi.org/10.5194/isprs-archives-XLVIII-2-W12-2026-143-2026
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6, 65–70.
Jamil, O., & Brennan, A. (2025). Immersive heritage through Gaussian Splatting: A new visual aesthetic for reality capture. Frontiers in Computer Science, 7, 1515609. doi.org/10.3389/fcomp.2025.1515609
Jiang, Y., Yu, C., Xie, T., Li, X., Feng, Y., Wang, H., Li, M., Lau, H., Gao, F., Yang, Y., & Jiang, C. (2024). VR-GS: A
Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality (arXiv:2401.16663). arXiv. doi.org/10.48550/arXiv.2401.16663
Kerbl, B., Kopanas, G., Leimkuehler, T., & Drettakis, G. (2023). 3D Gaussian Splatting for Real-Time Radiance Field Rendering. ACM Transactions on Graphics, 42(4), 1–14. doi.org/10.1145/3592433
Khedr, M., Metawie, M., Eldin, A. S., Hamdy, A., El-Shihy, A., Azab, S., Abdelaty, A., & Marzouk, M. (2025). 3D visualization of damaged statues using Gaussian splatting and web interface integration. Npj Heritage Science, 13(1), 587. doi.org/10.1038/s40494-025-02063-5
Mezzino, D. (2023). Digital visualization for cultural dissemination. SCIRES-IT - SCIentific RESearch and Information Technology, 13(1). doi.org/10.2423/i22394303v13n1p135
Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., & Ng, R. (2020). NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (arXiv:2003.08934). arXiv. doi.org/10.48550/arXiv.2003.08934
Murtiyoso, A., Markiewicz, J., Karwel, A. K., Grussenmeyer, P., & Kot, P. (2024). Comparison of state-of-the- art Multi-View Stereo solutions for close range heritage documentation. ISPRS Archives, XLVIII-2/W4-2024, 317–323. doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-317-2024
Qiu, S., Xie, B., Liu, Q., & Heng, P.-A. (2025). Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects. 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 203–208. doi.org/10.1109/AIxVR63409.2025.00039
Shen, Y., Li, B., Huang, J., & Wang, Z. (2025). GaussianShopVR: Facilitating Immersive 3D Authoring Using Gaussian Splatting in VR. 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 1292–1293. doi.org/10.1109/VRW66409.2025.00292
Shrestha, P., Kapali, S., Pokharel, V., Tandukar, J., Giri, S., & Aryal, A. (2026). 3D reconstruction of cultural heritage sites; A case study of Patan Durbar Square. Digital Applications in Archaeology and Cultural Heritage, 40, e00492. doi.org/10.1016/j.daach.2025.e00492
Sommer, E., Murtiyoso, A., Koehl, M., & Grussenmeyer, P. (2025). Radiance Fields for Archaeological Documentation of Medieval Rhine Valley Castle Ruins. 2025 IEEE International Conference on Imaging Systems and Techniques (IST), 1–6. doi.org/10.1109/IST66504.2025.11268408
Stanga, C., Banfi, F., & Roascio, S. (2023). Enhancing building archaeology: drawing, UAV photogram-metry and Scan-to-BIM-to-VR Process of Ancient Roman Ruins. Drones, 7(8). doi.org/10.3390/drones7080521
Tcha-Tokey, K., Loup-Escande, E., Christmann, O., & Richir, S. (2016). A questionnaire to measure the user experience in immersive virtual environments. Proceedings of the 2016 Virtual Reality International Conference, 1–5. https://doi.org/10.1145/2927929.2927955
Tu, X., Radl, L., Steiner, M., Steinberger, M., Kerbl, B., & De La Torre, F. (2025). VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality. ACM Computer Graphics, 8(1), 1–22. doi.org/10.1145/3728311
Wilcoxon, F. (1945). Individual Comparisons by Ranking Methods. Biometrics Bulletin, 1(6), 80–83.
Yu, Y., Verbree, E., Van Oosterom, P., Pottgiesser, U., Peng, Y., & Poux, F. (2025). From comparison to integration: A workflow evaluation of 3D Gaussian splatting and LiDAR point cloud for modern architectural heritage. Automation in Construction, 180, 106509. doi.org/10.1016/j.autcon.2025.106509
Article Metrics
Metrics powered by PLOS ALM
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Valeria Croce

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
SCIRES-IT, e-ISSN 2239-4303
Journal founded by Virginia Valzano




