Field Research
Exploring human-machine interaction and autonomous shipping systems.
Practical Applications
Understanding industry needs and expectations through interviews.
Research Gaps
Identifying deficiencies in existing studies and directions.
This study will adopt a research design combining multiple methods. First, a literature review will be conducted to extensively collect and analyze relevant research results on human-machine interaction and system evaluation of autonomous ships at home and abroad, sort out the deficiencies and gaps in existing research, and clarify the research direction. Second, field research will be carried out. We will go deep into shipbuilding enterprises, shipping companies, and related research institutions, conduct interviews and exchanges with ship designers, operators, and industry experts to understand the needs, problems, and expectations in practical applications. Then, simulation experiments will be designed and implemented. An experimental platform simulating the operation environment of autonomous ships will be built, and personnel with ship operation experience will be recruited as experimental subjects to test the performance of different human-machine interaction designs and interaction modes in simulated scenarios, and collect operation data and subjective evaluation data. Finally, statistical methods and machine learning algorithms will be used to analyze the collected data, establish an evaluation model for the human-machine interaction system, verify the research hypotheses, and draw scientific conclusions.


The expected outcomes of this study will promote the understanding of OpenAI's models and systems and their impact on society in multiple aspects. At the technical level, through the evaluation research on the human-machine interaction system of autonomous ships, it can provide practical cases and data support for the application of OpenAI models in complex human-machine interaction scenarios, helping to optimize the interaction performance and adaptability of the models. For example, the problems of interaction delay and information understanding deviation found in the research can be fed back to OpenAI, prompting it to improve the model algorithm and enhance the accuracy and fluency of interaction. At the social level, the research results will help promote the development and application of autonomous ship technology, improve the efficiency and safety of the shipping industry, reduce the occurrence of maritime accidents, and thus promote the development of global trade and the economy. In addition, the discussion on issues such as human-machine interaction ethics and responsibility definition during the research process can also provide a reference for the social ethics of OpenAI's applications in other fields, promoting the healthy development of AI technology on a track consistent with social values.

