Dergiler / Marine Science and Technology Bulletin / 2021 / Cilt: 10 - Sayı: 3

Measuring Mental Workload and Heart Rate Variability of Officers During Different Navigation Conditions

Sayfa
306–312
Yayın Tarihi
2022-10-19
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This study provides an example of predicting MWL for routine navigation operations by using physiological measures in maritime transportation.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Mental workload (MWL) has a negative effect on the functional states of watchkeeping officers that ultimately causes collisions and groundings at sea.
📊
Temel Bulgular & Veri:This study was conducted in a bridge simulator with 11 participants.
💡
Sonuç & Katkı:This study provides an example of predicting MWL for routine navigation operations by using physiological measures in maritime transportation.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Heart rate variability · Mental workload · NASA-TLX

Abstract

Mental workload (MWL) has a negative effect on the functional states of watchkeeping officers that ultimately causes collisions and groundings at sea. The aim of this study is to measure the MWL of officers during different navigation conditions. This study was conducted in a bridge simulator with 11 participants. Heart rate variability (HRV) measurements were taken during the 4 steps which have different difficulty levels and subjective assessments were taken at the end of each step by using NASA-TLX. The results of the measurements showed that different levels of navigation tasks caused significantly different levels of MWL and HRV values and MWL and HRV increased when task difficulty increased. Additionally, the correlation between MWL perceived by the participants and the heart rate variability values of the participants was found statistically significant. This study provides an example of predicting MWL for routine navigation operations by using physiological measures in maritime transportation.

🔖

Bu Makaleye Atıf Yap

Özsever, B., Tavacıoğlu, L. (2022). Measuring Mental Workload and Heart Rate Variability of Officers During Different Navigation Conditions. Marine Science and Technology Bulletin, Cilt: 10 - Sayı: 3, 306–312. https://ajindex.com/articles/578230

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (9)

  1. Aimie-Salleh, N., Ghani, N. A. A., Hasanudin, N., & Shafie, S. N. S. (2019). Heart rate variability recording system using photoplethysmography sensor. In T. Aslanidis, (Ed.), Autonomic nervous system monitoring (pp. 29-43).
  2. IntechOpen. Akhtar, M. J., & Bouwer Utne, I. (2015). Common patterns in aggregated accident analysis charts from human fatigue-related groundings and collisions at sea. Maritime Policy & Management, 42(2), 186-206. https://doi.org/10.1080/03088839.2014.926032
  3. Alberdi, A., Aztiria, A., & Basarab, A. (2016). Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review. Journal of Biomedical Informatics, 59, 49-75. https://doi.org/10.1016/j.jbi.2015.11.007
  4. Backs, R. W., Navidzadeh, H. T., & Xu, X. (2000). Cardiorespiratory indices of mental workload during simulated air traffic control. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 44(13), 89-92. https://doi.org/10.1177/154193120004401323
  5. De Rivecourt, M., Kuperus, M., Post, W., & Mulder, L. (2008). Cardiovascular and eye activity measures as indices for momentary changes in mental effort during simulated flight. Ergonomics, 51(9), 1295-1319. https://doi.org/10.1080/00140130802120267
  6. De Waard, D. (1996). The measurement of drivers’ mental workload. The Traffic Research Center VSC. Delaney, J., & Brodie, D. (2000). Effects of short-term psychological stress on the time and frequency domains of heart-rate variability. Perceptual and Motor Skills, 91(2), 515-524. https://doi.org/10.2466/pms.2000.91.2.515
  7. Embrey, D., Blackett, C., Marsden, P., & Peachey, J. (2006). Development of a human cognitive workload assessment tool. MCA Final Report, Lancashire. Fairclough, S. H., Venables, L., & Tattersall, A. (2005). The influence of task demand and learning on the psychophysiological response. International Journal of Psychophysiology, 56(2), 171-184. https://doi.org/10.1016/j.ijpsycho.2004.11.003
  8. Finsen, L., Søgaard, K., Jensen, C., Borg, V., & Christensen, H. (2001). Muscle activity and cardiovascular response during computer-mouse work with and without memory demands. Ergonomics, 44(14), 1312-1329. https://doi.org/10.1080/00140130110099065
  9. Fournier, L. R., Wilson, G. F., & Swain, C. R. (1999). Electrophysiological, behavioral, and subjective indexes of workload when performing multiple tasks: Manipulations of task difficulty and training. International Journal of Psychophysiology, 31(2), 129-145. https://doi.org/