JOURNAL ARTICLE

ASSESSMENT OF SEAFARERS’ MENTAL WORKLOAD: A STUDY ON HIGH SPEED CRAFT.

  • Published In: International Journal of Maritime Engineering - Transactions of the Royal Institute of Naval Architects - Part A, 2023, v. 165, n. A3. P. A-239 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Kartoglu, C.; Senol, Y. E.; Kum, S. 3 of 3

Abstract

High speed craft has become prominent in maritime industry. Sophisticated electronic navigation equipment on bridge increases mental demands of high speed craft navigator. In the present study, mental workload of high speed craft navigators has been assessed in terms of bridge navigation operations. For this purpose, the pairwise comparison of the effects of Electronic Chart Display and Information System, Automatic Radar Plotting Aid, Automatic Identification System and autopilot on mental workload and Revised NASA Task Load Index questionnaires were carried out. High speed craft navigators sorted berthing, unberthing, navigation in coastal waters, navigation in restricted waters, and navigation on open sea operations according to their mental workload levels. In addition, they indicated the factors mostly affecting mental workload and the remarkable suggestions to keep the optimum level of mental workload. As result of these findings, considerations have been made for increasing the safety of high speed craft navigation. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Maritime Engineering - Transactions of the Royal Institute of Naval Architects - Part A. 2023/07, Vol. 165, Issue A3, pA-239
  • Document Type:Article
  • Subject Area:Astronomy and Astrophysics
  • Publication Date:2023
  • ISSN:14798751
  • DOI:10.5750/ijme.v165iA3.1230
  • Accession Number:175575604
  • Copyright Statement:Copyright of International Journal of Maritime Engineering - Transactions of the Royal Institute of Naval Architects - Part A is the property of Royal Institution of Naval Architects and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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