自從人類在社會上各層面大量的應用資訊技術後,不論是民間航空公司或是軍事機關均致力於使用先進的資訊科技(如模擬機),以有效地降低天候影響因素及訓練成本,並增加訓練效益。 本文探討哪些因素會影響飛行員使用模擬機的態度和傾向,將有助於落實模擬機訓練。科技接受模式(TAM)相關研究指出科技產品本身的有用性及易用性為使用者是否接受此產品之關鍵因素。模擬機可以視為科技產品的一項,故其本身的易用性、有用性,亦應為飛行員使用模擬機時之關鍵因素。所以本研究即採用科技接受模式(TAM)來實証探討影響飛行員使用模擬機的態度。 本文研究的目的,希望藉由問卷調查與蒐集並分析使用模擬機的飛行員,實際瞭解目前運用它於訓練的情況,並深入探討如何運用模擬機達成有效的訓練,提供一具體的方向,使大家能夠有效的發揮它的功能。本文研究對象以目前實際使用模擬機之飛行員為主,透過模擬機訓練室取得實際使用者名單,進行問卷之發放,共發出問卷89 份。 本研究所採用SPSS 統計視窗軟體為統計分析工具,針對樣本資料使用研究方法如敘述統計、因素分析、單因子變異數檢定(one-way ANOVA)等。
Since humans in all social stratifications massively using applied information technology,all units,civil or military ,resort to usingadvanced information technology,such as simulator,to effectively reduce the weather influence and training cost and enhance training benefit. This thesis is to explore the factors affecting pilots` attitude and tendency in using simulators. A related research of technology acceptance model (TAM)indicates that the availability and easiness of using scientific and technical products are the decisive factors whether a user will accept the product. Simulators can be considered as a kind of scientific and technical product.The easiness and availability of the simulators should be also the critical factors when pilots use them. This study adopts TAM to verify the results of pilots` attitude in using simulators. By questionnaires and information collections from the pilots who use simulators, the goal of this research is to have a picture of the current practical training condition and a more exploration on how to achieve the effective training by exerting simulators,so it can provide a concrete direction to utilize the functions of the simulator effectively.The survey subjects focus mainly on pilots who use simulators.The 89 questionnaires are issued according to the name lists of actual practitioners from the simulator training center. This research adopts SPSS statistics Windows software as the analytical tool.To the sample material,the study methods are used such as narrative statistics, factor analysis, and one way ANOVA etc.