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Workload and Fatigue Assessment on Air Traffic Controller
Triyanti V.a,b, Azis H.A.a, Iridiastadi H.a, Yassierlia
a Institut Teknologi Bandung, Bandung, Indonesia
b Atma Jaya Catholic University of Indonesia, Jakarta, 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]© Published under licence by IOP Publishing Ltd.Workload experienced during certain work periods may cause fatigue. In Air Traffic Control work, a high air traffic rate may increase the workload and fatigue, especially during rush hour and may lead to risky situations. This study intended to estimate the value of the mental workload and fatigue of an Air Traffic Controller (ATCo) in airport X during their work period. The NASA-TLX and Samn Perelli Scale were used to quantify mental workload and fatigue. The questionnaires were distributed to ATCo and 257 questionnaires were obtained. Results showed the value of the mental load at airport X tended to be higher than other airports (average 66.53), especially for mental demand, time pressure, and effort. The value of fatigue before and after work also increased (average 1, 749 to 3, 506) included in the safe category. However, there was no convincing evidence that differences in mental load values affect the value of fatigue. These results indicated that although the workload of ATCO was relatively high, the ATCo in Airport X still can handle it and did not cause excessive fatigue.[/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][/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]Air Traffic Controller,fatigue,NASA-TLX,Samn Perelli scale,workload[/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/10.1088/1757-899X/847/1/012087[/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]