Digitalizing Seafarers’ Well-being: Addressing Mental Health Challenges in Autonomous Shipping

Authors

  • P. Kamalesh Kumar Academy of Maritime Education and Training Deemed to be University (India)
  • Vairavan C. Academy of Maritime Education and Training Deemed to be University (India)
  • Ramaraju S. Academy of Maritime Education and Training Deemed to be University (India)

DOI:

https://doi.org/10.51611/iars.irj.v16i1.2026.282

Keywords:

Maritime English, Autonomous shipping, Seafarer mental health, Digital learning

Abstract

As the maritime industry shifts toward increased automation and the implementation of Maritime Autonomous Surface Ships (MASS), the role of seafarers is undergoing a critical transformation. This study investigates the dual impact of digital tools namely the MARENG Maritime English learning software and the Wysa AI mental health application on enhancing both the technical language proficiency and psychological well-being of marine cadets. Using a quasi-experimental mixed-method design, 120 cadets were divided into experimental and control groups over a six-week intervention period. Quantitative data from Maritime English Assessment Tests (MEAT) and DASS-21 psychological scales revealed significant improvements in the experimental group’s communication skills and mental health scores. Correlation analysis further showed that reduced stress levels positively influenced language performance. Qualitative insights from focus group discussions affirmed that cadets using digital tools experienced heightened confidence, emotional regulation, and learning autonomy. These findings support a holistic, technology-integrated approach to maritime education that aligns with the evolving demands of autonomous shipping and human-centered digital resilience.

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References

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Published

2026-02-08

Issue

Section

Peer Reviewed Research Manuscript

How to Cite

Kumar, P.K., C., V. and S., R. (2026) “Digitalizing Seafarers’ Well-being: Addressing Mental Health Challenges in Autonomous Shipping”, IARS’ International Research Journal, 16(1). doi:10.51611/iars.irj.v16i1.2026.282.

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