Detalhes bibliográficos
Ano de defesa: |
2009 |
Autor(a) principal: |
Noce, Franco [UNIFESP] |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Tese
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de São Paulo (UNIFESP)
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
|
Link de acesso: |
https://repositorio.unifesp.br/handle/11600/8829
|
Resumo: |
The purpose of this study was to evaluate the influence of work shift on decision-making performance in military air traffic controllers. Twenty-two air traffic controllers took part in this study; most of them were sergeants with nearly 20 years in service and an average of 8.7 years as traffic controllers. The volunteers were evaluated using the Vienna Test System decision-making battery. Two tests were used to evaluate decision-making process: a cognitive test (COG) and a multiple-response test (DT). Evaluation was performed at the facilities of a Brazilian military base before and after each work shift (morning, afternoon, and night) on six occasions. Data were processed with the statistical package SPSS for Windows and the study was approved by the research ethics committee of Universidade Federal de São Paulo. A decision-making performance score was developed based on variables of the above-mentioned tests. Significant differences were found for variables “pre- and post-shift time” (p=0.018) and shift time (p=0.03). The decision-making performance scores of night shift air traffic controllers were higher, both before (159.55 points) and after (153.15 points) work when compared to morning and afternoon shift results. Linear (p=0.026) and quadratic (p=0.031) interaction effects between shift and pre- and post-shift times were observed. Both work shift (morning, afternoon, or night) and pre- and post-shift time (beginning or end) may affect decision-making processes significantly. Well-planned work shifts with well-managed workload and intervals may minimize decision-making failures during air traffic controllers’ work time. |