Dataset of evidence based instruction forms for human error reduction in complex systems.

Evidence based Flight simulator Risk quantification Safety Standard operating procedures Work error

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 18 05 2020
accepted: 03 06 2020
entrez: 30 6 2020
pubmed: 1 7 2020
medline: 1 7 2020
Statut: epublish

Résumé

The article describes the export data of a flight research simulator experiment. The data show how different forms of presentation affect the behavior of instructions for test subjects. The representation forms algorithm, image and text are examined with regard to the number of top events, error frequencies, execution times and subjectively perceived workload. For this purpose, a study was carried out with n = 93 test persons in the research flight simulator, in which the test persons had the task of landing a passenger aircraft using the autopilot with different representation forms. 14 Possible work errors with 11 different representation forms. Further, there are questionnaire answers from test persons.

Identifiants

pubmed: 32596429
doi: 10.1016/j.dib.2020.105838
pii: S2352-3409(20)30732-0
pii: 105838
pmc: PMC7306584
doi:

Types de publication

Journal Article

Langues

eng

Pagination

105838

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors Hammann, Feldhütter and Krause are full time PhD-Students at the Technical University of Munich. There is no further financial support of any companies. The equipment (Research Simulator) and software are owned by the Institute.

Références

Heliyon. 2020 Feb 11;6(2):e03291
pubmed: 32072039

Auteurs

Claudius Hammann (C)

Department of Mechanical Engineering, Institute of Nuclear Technology, Technical University of Munich, Bolzmannstreet 15, 85748 Garching, Germany.

Christoph Krause (C)

Department of Aerospace and Geodesy, Institute of Flight System Dynamics, Technical University of Munich, Bolzmannstreet 15, 85748 Garching, Germany.

Anna Feldhütter (A)

Department of Mechanical Engineering, Institute of Ergonomics, Technical University of Munich, Bolzmannstreet 15, 85748 Garching, Germany.

Classifications MeSH