APPROACHES GOING TO DETERMINATION PERIODS OF THE HUMAN FACTOR OF NAVIGATORS DURING SUPERNUMERARY SITUATIONS

Authors

  • P. S. Nosov Kherson State Maritime Academy, Ukraine
  • A. P. Ben Kherson State Maritime Academy, Ukraine
  • A. F. Safonova Kherson Polytechnic College, Ukraine
  • I. V. Palamarchuk Kherson State Maritime Academy, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2019-2-15

Keywords:

human factor, navigator model, detection threshold, emergency situations.

Abstract

Context. The problem of identifying the manifestation of the human factor in the context of utility in maritime transport during
emergency situations is considered. The aim of the study is to increase safety in maritime transport by identifying positive and
negative human factors, as well as analyzing the behavioral reactions affecting the vessel’s passage parameters.
Objective. The aim of the work is to determine the approaches and the construction of software tools to identify periods of
manifestation of the human factor of the navigators during abnormal situations.
Method. The study identified the types of manifestations of the human factor in the form of intuitive (illogical) behavior of the
navigator. The dependence of intuitive behavior, as a reaction, on exceeding the detection threshold of perception of service
information, is given. It was determined that the distribution of information load among members of the navigation watch will
significantly reduce the detection threshold of the navigator at the time of making management decisions.
It was established that the detection step is to determine the balance of information effects on the navigator and his individual polar
reactions. The cycle of updating the navigator model is determined by analyzing his individual behavior model of previous
intellectual activity. A formal description of the space of alternatives and reactions of the navigator in the form of polar groups at the
moment of vessel management is proposed. Software has been developed that allows the analysis of the vessel’s passage trajectory
for collision detection and the identification of periods of occurrence of the detection threshold of the navigator.
Analysis of the trajectories made it possible to conclude that before the collision the navigator was in active/passive polar states of
action, which directly proportional to the speed of the vessel, which confirms the main hypothesis of the study. As a mathematical
tool for solving the problem of classifying individual reactions of the navigator, the factor analysis and a training sample are
offered – more than nine typical situations, which make it possible to adequately determine polar reactions according to the principle
of utility.
Results. In order to confirm the adequacy of the proposed formal-logical approaches, an experiment was conducted using the
Trainer Professional 5000 navigation simulator (NTPRO 5000). The results of the experiment, as well as the developed software,
made it possible to identify the time periods of the negative human factor manifestation of the navigator caused by the information
overload and to determine its individual stimulus factors. At the same time, the moment of occurrence of an extraordinary situation
was determined by analyzing the passage trajectory of the vessel by means of processing log files by passing the Bosporus strait
location.
In addition, an algorithm was developed for the formation of the navigator’s model and its updating on the basis of individual
periods of the negative manifestation of the human factor. The features of the occurrence of informational imbalance between
members of the navigation watch in the event of an emergency situation and features of its identification during the passage of the
vessel are considered. The obtained results will allow at a qualitatively new level to approach the analysis of the problem of the
influence of human factor on the adequate managerial decisions of the navigator.
Conclusions. The proposed formal approaches and the developed software will allow identifying the transition from the
controlled adequate state of the navigator to the uncontrolled state with intuitive reactions. The scientific novelty consists in the fact
that the developed algorithm of forming a navigator model in a discrete time, which allows to identify its polar reactions during
extraordinary situations. The practical significance lies in the fact that the results of the experiment allowed identifying the time
periods of the manifestation of the negative human factor of the navigator, caused by the information overload and identifying its
individual factors-incentives. Prospects for further research may be the development of software in the form of an expert system
defining deviations from a given course during the sea passage, as well as inadequate reactions in the performance of classical
maneuvers in case of divergence of ships in constrained areas.

Author Biographies

P. S. Nosov, Kherson State Maritime Academy

PhD, Associate Professor of the chair Navigation and Electronic Navigation Systems Department

A. P. Ben, Kherson State Maritime Academy

PhD, Associate Professor, Deputy Rector for scientific and pedagogical work, Head of the Navigation
and Electronic Navigation Systems Department,

A. F. Safonova, Kherson Polytechnic College

PhD, Associate Professor

I. V. Palamarchuk, Kherson State Maritime Academy

Ms. Sc., Postgraduate student

References

Ben’ A. P. Lyuds’kiy faktor v avtomatizovanikh sistemakh upravlіnnya sudnom ta shlyakhi znizhennya yogo vplivu.

Naukoviy vіsnik Khersonskoy derzhavnoy morskoy akademii, 2012, 2(7). pp. 26–30 (in Ukrainian).

Kosenko Y. І., Roslyakova S. V., & Nosov P. S. Sistema іdentifіkatsii funktsіonal’noi entropii sub’ekta kritichnoi іnfrastrukturi. Zbirnik nauchnykh trudov po materialam mizhnarodnoi naukovoi praktichnoi konferencii «Sovremennye napravleniya teoreticheskikh i prikladnykh issledovaniy», Tekhnicheskie nauki, 2013, 8, pp. 50–54 (in Ukrainian).

Xi Y. T., Yang Z. L. , Fang Q. G., Chen W. J., & Wang J. A new hybrid approach to human error probability quantification-applications in maritime operations, Ocean Engineering, 2017, Vol. 138, pp. 45–54. doi:10.1016/j.oceaneng.2017.04.018.

Arslan O., & Er I. D. Effects of Fatigue on Navigation Officers and SWOT Analyze for Reducing Fatigue Related Human Errors on Board TransNav, The International Journal on Marine Navigation and Safety of Sea Transportation, 2007, Vol. 1, No. 3, pp. 345–349.

Dixena D., Chakraborty B., & Debnath N. Application of Case-Based Reasoning for Ship turning Emergency to prevent Collision, 9th IEEE International Conference on Industrial Informatics INDIN, 2011.

Jech T. Set theory. Berlin, Heidelberg, New York, Barcelona, Budapest, Hong Kong, London, Milan, Paris, Santa Clara, Singapore, Tokyo, Springer, 1997. DOI:10.1007/3-540-44761-X.

Özdemir Ü., & Güneroğlu A. Strategic approach model for investigating the cause of maritime accidents, Promet – Traffic – Traffico, Karadeniz Technical University, 2015, 27(2), pp. 113–123. DOI: 10.7307 / ptt.v27i2.1461.

Carotenuto A., Angiola M. F., Ivana M., Sibilio F., Saturnino A., Traini E., & Amenta F. The Psychological General Well-Being Index (PGWBI) for assessing stress of seafarers on board merchant ships, International Maritime Health, 2013, 64(4), pp. 215–220. DOI:10.5603/IMH.2013.0007.

Yang C., Gao J., Du J., Wang H. Y., Jiang J. X., & Wang Z. G. Understanding the outcome in the chinese changjiang disaster in 2015: a retrospective study, Journal of emergency medicine, 2017, 2(52), pp. 197–204. DOI:10.1016/ j.jemermed. 2016.08.013.

Zhang L., Lu J., & Ai Y. Analyzing human error in maritime transportation in China based on game theory, Journal of Wuhan University of Technology (Transportation Science and Engineering), 2014, 38(6), pp. 1282–1290. DOI:10.3963/j.issn.2095-3844. 2014. 06.022.

Berg H. P. Human Factors and Safety Culture in Maritime Safety, The International Journal on Marine Navigation and

Safety of Sea Transportation, 2013, 7(3), pp. 343–352. DOI:10.12716/1001.07.03.04.

Guidance notes on safety culture and leading indicators of safety. American Bureau of Shipping (ABS), Houston, 2012, 74 p.

Corović B. Research of Marine Accidents through the Prism of Human Factors, Promet Traffic & Transportation, 2013,

Vol. 25, No. 4, pp. 369–377. DOI: 10.7307/ ptt.v25i4.1210.

Jech T. Set theory. Berlin, Heidelberg, New York, Barcelona, Budapest, Hong Kong, London, Milan, Paris, Santa Clara, Singapore, Tokyo, Springer, 1997. DOI:10.1007/3-540-44761-X. (in English).

Hyun C. L., & Poong H. S. A computational model for evaluating the effects of attention, memory, and mental models on situation assessment of nuclear power plant operators, Reliability Engineering & System Safety, 2009, Vol. 94, Issue 11, pp. 1796–1805. DOI: 10.1016/j.ress.2009.05.012.

Nosov P. S., Ben A. P., & Safonov M. S. Model construction of individual scenarios for the elimination of the human factor, Suchasni infonmaciyni ta innovaciyni tehnologii na transposti, MINTT-2018: Materialy X Miznarodnoi naukovo-praktichnoyi konferencii, 29–31 May 2018, pp. 224–225 (in Ukrainian).

Downloads

Published

2019-05-28

How to Cite

Nosov, P. S., Ben, A. P., Safonova, A. F., & Palamarchuk, I. V. (2019). APPROACHES GOING TO DETERMINATION PERIODS OF THE HUMAN FACTOR OF NAVIGATORS DURING SUPERNUMERARY SITUATIONS. Radio Electronics, Computer Science, Control, (2), 140–150. https://doi.org/10.15588/1607-3274-2019-2-15

Issue

Section

Progressive information technologies