- International Journal of Multidisciplinary Studies and Innovative Technologies
- Vol: 5 Issue: 1
- EVALUATION OF JEPPESEN AND GARMIN ELECTRONIC FLIGHT BAGS (EFBs) APPLICATIONS IN TERMS OF COGNITIVE W...
EVALUATION OF JEPPESEN AND GARMIN ELECTRONIC FLIGHT BAGS (EFBs) APPLICATIONS IN TERMS OF COGNITIVE WORKLOAD AND AVAILABILITY
Authors : N. Fırat Özkan, Emre Aksoy, Gökberk Şensoy
Pages : 36-45
View : 21 | Download : 7
Publication Date : 2021-07-31
Article Type : Other
Abstract :As the dimensions and capabilities of tablet computers are suitable for use in aircraft, software has begun to be developed. The approach plans and route information used on printed paper about the airports in flight operations have been transformed into a paperless flight deck concept [1] by means of the development of appropriate software. With the introduction of the paperless cockpit concept, pilots can access the information they need through the tablet and the applications installed in it. Together with the paperless cockpit concept, the physical workload of the pilots on the physical document handling and document up-to-date works has virtually disappeared. However, the disappearance of the physical workload was replaced by the cognitive workload. To use the capabilities of EFBs applications practically, it is important to develop applications to minimize the cognitive workload. Cognitive load analysis and usability studies were conducted by using NASA-TLX and IBM CSUQ questionnaires between JEPPESEN FD PRO application used by participating pilots and GARMIN PILOT application which pilots had not used before. User tests were performed on two different groups. The first group consists of 15 pilot working on light-middle class transport aircraft. The second group consists of 15 flight technicians working in light-middle class transport aircraft. NASA-TLX and IBM CSUQ questionnaires were applied to both groups and the results were analyzed in SPSS programKeywords : User test, Cognitive workload, EFBs (Electronic Flight Bags), NASA-TLX, IBM CSUQ