journal article·2020-01-10Open access

The Influence of Display Parameters and Display Devices over Spatial Ability Test Answers in Virtual Reality Environments

Tibor Guzsvinecz, Cecilia Sik-Lanyi, Eva Orban-Mihalyko, Erika Perge

Applied Sciences· Volume 10· Issue 2

Abstract

This manuscript analyzes the influence of display parameters and display devices over the spatial skills of the users in virtual reality environments. For this, the authors of this manuscript developed a virtual reality application which tests the spatial skills of the users. 240 students used an LG desktop display and 61 students used the Gear VR for the tests. Statistical data are generated when the users do the tests and the following factors are logged by the application and evaluated in this manuscript: virtual camera type, virtual camera field of view, virtual camera rotation, contrast ratio parameters, the existence of shadows and the device used. The probabilities of correct answers were analyzed based on these factors by logistic regression (logit) analysis method. The influences and interactions of all factors were analyzed. The perspective camera, lighter contrast ratio, no or large camera rotations and the use of the Gear VR greatly and positively influenced the probability of correct answers on the tests. Therefore, for the assessment of spatial ability in virtual reality, the use of these parameters and device present the optimal user-centric human–computer interaction practice.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Virtual Reality Applications and Impacts · Spatial Cognition and Navigation · Augmented Reality Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, 8200 Veszprem, Hungary

Department of Mathematics, Faculty of Information Technology, University of Pannonia, 8200 Veszprem, Hungary

Department of Basic Technical Studies, Faculty of Engineering, University of Debrecen, 4028 Debrecen, Hungary

References (23)

Show source-provided references
1. (2019, November 23). Best Jobs with Good Visual and Spatial Skills|LoveToKnow. Available online: https://jobs.lovetoknow.com/Best_Jobs_with_Good_Visual_and_Spatial_Skills.
2. Assessing and enhancing visualization skills of engineering students in Africa: A comparative study
3. Branoff, T.J., and Connolly, P.E. (1999, January 20–23). The addition of coordinate axes to the purdue spatial visualization test—Visualization of rotations: A study at two universities. Proceedings of the ASEE Annual Conference, Charlotte, NC, USA.
4. The spatial ability and spatial geometrical knowledge of university students majored in mathematics
5. Analysis of Current Virtual Reality Methods to Enhance Learning in Education
6. Torner, J., Apliste, F., and Brigos, M. (June, January 30). Virtual Reality application to improve spatial ability of engineering students. Proceedings of the WSCG 2016—24th Conference on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic.
7. Molina-Carmona, R., Pertegal-Felices, M.L., Jimeno-Morenilla, A., and Mora-Mora, H. (2018). Assessing the Impact of Virtual Reality on Engineering Students’ Spatial Ability. The Future of Innovation and Technology in Education: Policies and Practices for Teaching and Learning Excellence, Emerald Publishing Limited.10.1108/978-1-78756-555-520181013 ↗
8. Molina-Carmona, R., Pertegal-Felices, M.L., Jimeno-Morenilla, A., and Mora-Mora, H. (2018). Virtual Reality learning activities for multimedia students to enhance spatial ability. Sustainability, 10.10.3390/su10041074 ↗
9. Kortum, P. (2008). HCI beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces, Elsevier.
10. Mirauda, D., Capece, N., and Erra, U. (2019). StreamflowVL: A Virtual Fieldwork Laboratory that Supports Traditional Hydraulics Engineering Learning. Appl. Sci., 9.10.3390/app9224972 ↗
11. Al Mahdi, Z., Naidu, V.R., and Kurian, P. (2019). Analyzing the Role of Human Computer Interaction Principles for E-Learning Solution Design. Smart Technologies and Innovation for a Sustainable Future, Springer.10.1007/978-3-030-01659-3_6 ↗
12. Liu, P., Fels, S., West, N., and Görges, M. (2019). Human Computer Interaction Design for Mobile Devices Based on a Smart Healthcare Architecture. arXiv.
13. Zhu, Z., Pan, W., Ai, X., and Zhen, R. (2019, January 24–28). Research on Human-Computer Interaction Design of Bed Rehabilitation Equipment for the Elderly. Proceedings of the International Conference on Applied Human Factors and Ergonomics, Washington, DC, USA.10.1007/978-3-030-20227-9_25 ↗
14. Ding, T., and Zhu, D. (2019, January 17). Applications of the human-computer interaction interface to MOBA mobile games. Proceedings of the 10th International Conference on Signal Processing Systems, Singapore.10.1117/12.2516155 ↗
15. Kharoub, H., Lataifeh, M., and Ahmed, N. (2019). 3D User Interface Design and Usability for Immersive VR. Appl. Sci., 9.10.3390/app9224861 ↗
16. Reflecting on the Design Process for Virtual Reality Applications10.1080/10447318.2018.1443898 ↗
17. Design and evaluation of a real-world virtual environment for architecture and urban planning10.1162/pres.16.3.318 ↗
18. (2019, November 24). Unity Real-Time Development Platform|3D, 2D VR & AR Visualizations. Available online: https://unity.com/.
19. (2019, November 24). Gear VR SM-R322 Support & Manual|Samsung Business. Available online: https://www.samsung.com/us/business/support/owners/product/gear-vr-sm-r322/.
20. (2019, November 24). Samsung Galaxy S6 Edge Plus—The Official Samsung Galaxy Site. Available online: https://www.samsung.com/global/galaxy/galaxy-s6-edge-plus/.
21. (2019, November 24). LG LED Monitor 20M37A|19.5 LG LED Monitor—LG Electronics UK. Available online: https://www.lg.com/uk/monitors/lg-20M37A.
22. Hosmer, D.W., Lemeshow, S., and Sturdivant, R.X. (2013). Applied Logistic Regression, John Wiley & Sons.10.1002/9781118548387 ↗
23. (2019, November 24). R: The R Project for Statistical Computing. Available online: https://www.r-project.org/.