TY - JOUR ID - 21097 TI - Pilot workload assessment under different levels of autopilot failure JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Mortazavi, M. R. AU - Raissi, K. AU - Hashemi Mehne, S. H. AD - Department of Aerospace Engineering, Amirkabir University of Technology and Aerospace Research Institute, Tehran, Iran AD - Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran AD - Aerospace Research Institute, Tehran, P.O. Box: 14665 834, Iran Y1 - 2019 PY - 2019 VL - 26 IS - Special Issue on: Socio-Cognitive Engineering SP - 114 EP - 126 KW - baud rate KW - human-machine interaction KW - information theory KW - simulator KW - subjective rating KW - workload DO - 10.24200/sci.2018.50592.1777 N2 - One of the most interesting topics in the field of human machine interaction is workload. In this paper, using information theory concepts, baud rates generated in all subsystems of a generic simulator of piloting tasks were calculated and then, a unique numerical index presenting an estimation of overall workload was extracted. To examine the effectiveness of offered criteria, three tests with different levels of autopilot failure were designed in which existing workload were labeled based on involving baud rates. A group of subjects performed these tests as the pilots while recording their own idea about perceived workload. Results confirmed that there were statistically significant differences between the averages of scores assigned by subjects to the overall workload for three levels of difficulty. Consequently, the proposed quantitative index is effective enough for determination of workload levels in the simulator environment and facilitates creation of needed scenario noticeably. UR - https://scientiairanica.sharif.edu/article_21097.html L1 - https://scientiairanica.sharif.edu/article_21097_6c3dd234ee7494924b6a7f1b5f35ad57.pdf ER -