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| Title: | Safety and efficiency of Human - MASS interactions: towards an integrated framework | | | Authors: | R. Song, E. Papadimitriou, R.R. Negenborn, P.H.A.J.M. van Gelder |
| | Journal: | Journal of Marine Engineering & Technology | | |
| | Abstract: | Maritime Autonomous Surface Ships (MASS) have gained much attention as a safer and more efficient mode of transportation and a potential solution to reduce the workload of seafarers. Despite the highly sophisticated autonomous systems that enable MASS to make independent decisions, the presence of humans on board or in the loop of safety management highlights the need for an effective human-machine interaction. However, a potentially systematic review of critical aspects of human-MASS interaction has not yet been conducted. In this paper, we aim to fill this gap by reviewing the literature related to human-MASS interaction from four crucial perspectives: the state of the art of human-MASS interaction, situational awareness for MASS, collision avoidance methods for MASS within a mixed waterborne transport system (MWTS), and human trust in MASS. Our review reveals that human-MASS interaction for safety and efficiency mainly focuses on four key aspects: i) human factors, ii) available technologies supporting the autonomy of MASS, iii) system analysis and design for human-MASS interaction, and iv) potential requirements regarding regulations. Moreover, we provide a detailed discussion of the three fundamental factors that influence human-MASS interaction, including situational awareness, decision-making for MASS in a mixed waterborne transport system, and human trust in the autonomous system of MASS. Finally, based on our analysis, we propose an integrated framework of human-MASS interaction in which these human factors are taken into account. We anticipate that these factors and their interaction will receive more attention to improve the safety and efficiency of MASS. |
| | Reference: | Safety and efficiency of Human - MASS interactions: towards an integrated framework. R. Song, E. Papadimitriou, R.R. Negenborn, P.H.A.J.M. van Gelder. Accepted for publication in Journal of Marine Engineering & Technology, 2024. Open access. | | | Download: | Open access |
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