Abstract
Two-dimensional (2D) desktop and three-dimensional (3D) Virtual-Reality (VR) play a significant role in providing military personnel with training environments to hone their decision-making skills. The nature of the environment (2D versus 3D) and the order of task difficulty (novice to expert or expert to novice) may influence human performance in these environments. However, an empirical evaluation of these environments and their interaction with the order of task difficulty has been less explored. The primary objective of this research was to address this gap and explore the influence of different environments (2D desktop or 3D VR) and order of task difficulty (novice to expert or expert to novice) on human performance. In a lab-based experiment, a total of 60 healthy subjects executed scenarios with novice or expert difficulty levels across both 2D desktop environments (N = 30) and 3D VR environments (N = 30). Within each environment, 15 participants executed the novice scenario first and expert scenario second, and 15 participants executed the expert scenario first and novice scenario second. Results revealed that the participants performed better in the 3D VR environment compared to the 2D desktop environment. Participants performed better due to both expert training (performance in novice second better compared to novice first) and novice training (performance in expert second better compared to expert first). The combination of a 3D VR environment with expert training first and novice training second maximized performance. We expect to use these conclusions for creating effective training environments using VR technology.
| Original language | English |
|---|---|
| Title of host publication | HCI International 2020 – Late Breaking Papers |
| Subtitle of host publication | Virtual and Augmented Reality - 22nd HCI International Conference, HCII 2020, Proceedings |
| Editors | Constantine Stephanidis, Jessie Y.C. Chen, Gino Fragomeni |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 421-439 |
| Number of pages | 19 |
| ISBN (Print) | 9783030599898 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 22nd International Conference on Human-Computer Interaction,HCII 2020 - Copenhagen, Denmark Duration: 19-07-2020 → 24-07-2020 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 12428 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 22nd International Conference on Human-Computer Interaction,HCII 2020 |
|---|---|
| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 19-07-20 → 24-07-20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science
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