The purpose of this thesis is to develop a framework for the gamification of flight simulators to provide an active learning and training environment for military jet pilots. Currently, with the development of visual displays and computer processing capabilities, the modern simulator has made great progress in visual and auditory terms that is incomparable to the past. In addition, functions that were previously implemented through supercomputers and complex hardware devices are now available through desktop computers at an affordable cost. Despite these advances, the simulators so far are thought to have been negligent in building an active learning and training environment for users, focusing only on such things as sound and visual immersion and training requirements. On top of that, misbelief in the effectiveness of pilots' flight simulators, old paradigms failing to keep up with computer technology, and lack of instructor manpower have not led to the progress of simulator training programs. Meanwhile, studies show that the gamified system, which has become an increasingly hot topic in business, health care, and education over the past decade, has made users more motivated and actively engaged in the use of specific platforms. And the resulting effect was also positive. This Research aimed: (1) to examine a research-based Gamification Framework to understand the concept of a gamified system, (2) to identify pilots' flight training needs and motivations, (3) and finally to suggest evaluation tool with example. The Gamification Framework of Flight Simulator(GFFS) was designed on the basis of research and a survey conducted for Korean Air Force fighter pilots for detailed Gamified Flight Simulator(GFS) evaluation tool. GFFS was modified and applied from Kim's gamification framework and the Octalysis framework was used to identify and compare pilots' needs and motivation factors.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-1258 |
| Date | 01 January 2020 |
| Creators | Noh, Daeho |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
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