Q2 :The disclosure statement has been inserted. Please correct if this is inaccurate.Response: Yes, it is correct. Q3 :The reference "Castiglia and Giardina 2013" is listed in the references list but is not cited in the text. Please either cite the reference or remove it from the references list.Response: Please remove it. Q4 :The reference "Erdem et al. 2021" is listed in the references list but is not cited in the text. Please either cite the reference or remove it from the references list. Response: It has been inserted into text. Please check. Q5 : Please provide missing city for the reference "Hollnagel 1993" references list entry. Response: Resolved Q6 : Please provide missing city for the reference "Kirwan 1994" references list entry. Response: Resolved Q7 : Please provide missing editors name for reference "Kirwan et al. 2004" references list entry. Response: Resolved Q8 : Please provide missing volume number for reference "Liu et al. 2021" references list entry. Response: No volume number..please leave it like this. Q9 : . Please provide missing city for reference "Saaty, 1980" references list entry. Response: Remove same. Q10 : Please provide missing volume number and page range for reference "Samima and Sarma 2021" references list entry. Response: No have volume number, please leave it like this.Q11 : Please provide missing city for the reference "Zimmermann 2011" references list entry.Response: please remove same.

The human factor is a hot topic for the maritime industry since more than 80 percent of maritime accidents are due to human error. Minimizing human error contributions in maritime transportation is vital to enhance safety levels. At this point, the Maritime Autonomous Surface Ships (MASS) concept has become one of the most significant aspects to minimize human errors. The objective of this research is to predict the human-machine interface (HMI) based operational errors in autonomous ships to improve safety control levels. At this point, the interaction between shore-based operator and controlling system (cockpits) can be monitored and potential HMI operational errors can be predicted. This research utilizes a Success Likelihood Index Method (SLIM) under an interval type-2 fuzzy sets (IT2FSs) approach. While the SLIM provides a prediction of the human-machine interface (HMI) operational errors, the IT2FSs tackles uncertainty and vagueness in the decision-making process. The findings of this paper are expected to highlight the importance of human-machine interface (HMI) operational errors in autonomous ships not only for designers but also for operational aspects.

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_ Although, occupational injuries and fatalities onboard merchant ships show decreasing trends over the years, they are still significantly above the rates observed in the land based industries. This study critically evaluates the maritime occupational injuries and fatalities in international merchant shipping over the last 20 years by reviewing the reported studies and publications; available major data sources and taxonomies around the world with an aim of identifying the causes of those injuries and fatalities. The study, also present the detailed results of the systematic analysis of occupational accident database highlighting main causal factors. The analyses are carried out by studying the injuries and fatalities separately, in order to have a deeper understanding and better identification of the circumstances leading to injuries and fatalities. The study also presents the design and operational deficiencies leading to occupational accidents onboard merchant ships. Results of the data analyses clearly indicate that fall overboard of a person is the top immediate causal factor for fatalities, while slips, trips and falls on the same level is the top immediate causal factor for injuries.