Investigation on the impact of human-automation interaction in maritime operations
| Autor: | Kayvan Pazouki, Michael D. Woodward, Rosemary Norman, Neil Forbes |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Environmental Engineering Water transport Situation awareness business.industry Aviation 05 social sciences Ocean Engineering Automation Bridge (nautical) law.invention Officer Identification (information) Risk analysis (engineering) law 0502 economics and business Autopilot 0501 psychology and cognitive sciences business 050107 human factors |
| Zdroj: | Ocean Engineering. 153:297-304 |
| ISSN: | 0029-8018 |
| Popis: | The level of automation around the world has grown significantly over the past few decades, and continues to do so. There are many reasons behind this trend, such as safety and potential economic benefits. However, when automation fails or behaves unexpectedly, the impact on the human operator can be severe. In a safety critical operation, such as on the bridge of a ship, the consequences could be catastrophic. The research presented in this paper aims to improve understanding in this important area of study for the maritime industry. An experiment was conducted to assess the awareness of deck officer cadets in the recognition of a developing emergency situation due to failure of the autopilot. Using the results from this experiment and experiences from the aviation industry, the paper provides a potential strategy to improve automation monitoring and accuracy of situation awareness. This has led to the identification of opportunities to improve human-machine interaction. |
| Databáze: | OpenAIRE |
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