[vc_empty_space][vc_empty_space]
The Effect of Anticipatory Conditions on Pilot Performance in Encountering Stall: A Flight Simulator Study
Hajriani M.a, Iridiastadi H.b
a Directorate of General Civil Aviation, Ministry of Transportation Republic of Indonesia, Air Transport Analyst, DKI Jakarta, 10110, Indonesia
b Faculty of Industrial Technology, Bandung Institute of Technology, Bandung, 40116, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.Stall is one of abnormal events in flight which can cause fatal accident if the pilot cannot overcome the critical situation. This research examines the effect of pilot anticipatory condition towards pilot performance when encountering a stall and several other human factor conditions such as stress and sleep duration of previous night. A total of 18 respondents were divided into two groups namely surprised and anticipated against stall scenario. The respondents have passed the stress level test before it was continued with a flight simulation which included a stall scenario in it. Based on the results of the research, surprised and anticipated conditions as well as sleep duration of the pilot affect pilot performance in encountering stall. Pilots who have anticipated stall have a greater chance to have better performance. In addition, pilots with more than six h sleep duration also tend to have better performance in encountering stall.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Fatal accidents,Flight simulation,Pilot performance,Stress levels[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Abnormal events,Anticipatory condition,Logistic regression,Pilot training,Sleep duration,Stall,Stress[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1007/978-3-030-50943-9_78[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]