ABSTRACT
Human factors present one of the essential contributors to maritime accidents, and seafarers’ emotion is sensitive to working environment and information inaccessibility. The data collected from 11 experienced seafarers’ Self-Assessment Manikin (SAM) questionnaires, is analysed to investigate the impact of their emotions during watch-keeping in a bridge simulator. SAM scale rating questionnaires are received separately after two sections, emotion calibration and recognition. The emotion is induced and identified in the calibration section. In the recognition, emotion is self-rated after the crew-qualified test and the Support Vector Machine (SVM) model is used for classification. The results indicate that SVM can effectively identify the emotions with a precision of 72.73%. Seafarers’ emotion in maritime operations affects their behaviour and decision-making. The overall positive emotion identified by SAM rating does not mean positive effect on sailing, while negative emotion identified by SAM rating does not lead to negative behaviour.
