Advertisement

Heuristic and Bias Information on Ship Engine Operation Alarm Display

  • Adi Mas NizarEmail author
  • Takashi Miwa
  • Makoto Uchida
  • Masumi Nakamura
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)

Abstract

The fast and correct decision-making from an operator in the ship engine operation is needed. Specifically in an emergency situation, when numbers of alarms occur at the same time. This research aims to study the effect of adding information attribute into the alarm display to the behavior of the operator on their decision-making process. Either make improvement or bias is studied on behalf of the effect. Several students (N = 17) belong to Marine Engineering Department have participated. The experiment divided into three sessions with different amount of information. The participant should arrange the priority of the alarm that occurred using drag and drop feature on an HTML page. After each session, participants fill Likert-type scale of confidence level. From the statistical calculation, participants confidence level was difference each session (p < 0.05, χ(2,17) = 16.32). The participants also tend to change their priority of alarms between session (p < 0.05) and support the correlation (r = 0.51) between high confidence level with the tendency to follow the quantitative information in ordinally. The time on task of participants solving each session was shorter between session (p < 0.05, f(2,28) = 5.37). We conclude that adding more information into alarm display was increasing the confidence, but the decision- making tends to be biased.

Keywords

Heuristic Bias Decision making Alarm display Engine operation 

References

  1. 1.
    International Maritime Organization: Report of The Maritime Safety Committee on Its Ninety-Ninth Session (2018)Google Scholar
  2. 2.
    Man, Y., Lundh, M., Porathe, T., MacKinnon, S.: From desk to field - human factor issues in remote monitoring and controlling of autonomous unmanned vessels. In: Procedia Manufacturing 3 (6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015), pp. 2674–2681 (2015)Google Scholar
  3. 3.
    Goel, P., Datta, A., Mannan, M.: Industrial alarm systems: challenges and opportunities. J. Loss Prev. Process Ind. 50, 23–36 (2017)CrossRefGoogle Scholar
  4. 4.
    Ohara, J., Brown, W., Hallbert, B., Skraaning, G., Persenky, J., Watchel, J.: The effects of alarm display, processing, and availability on crew performance. NUREG/CR-6691, Brookhaven National Lab, New York (2000)Google Scholar
  5. 5.
    Stanton, N., Baber, C.: Alarm-initiated activities: an analysis of alarm handling by operators using text-based alarm systems in supervisory control systems. Ergonomics 38(11), 2414–2431 (1995)CrossRefGoogle Scholar
  6. 6.
    Wickens, C., Hollands, J.: Engineering Psychology and Human Performance. Prentice Hall, New Jersey (2000)Google Scholar
  7. 7.
    Rasmussen, J.: Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. 13(3), 257–266 (1983)CrossRefGoogle Scholar
  8. 8.
    Wickens, C., Gordon, S., Yili, L.: An Introduction to Human Factors Engineering. Addison Wesley Longman, New York (1998)Google Scholar
  9. 9.
    Gilson, R., Mouloua, M., Graft, A., McDonald, D.: Behavioral influences of proximal alarms. Hum. Factors 43(4), 595–610 (2001)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Adi Mas Nizar
    • 1
    Email author
  • Takashi Miwa
    • 1
  • Makoto Uchida
    • 1
  • Masumi Nakamura
    • 2
  1. 1.Graduate School of Maritime SciencesKobe UniversityKobeJapan
  2. 2.National Institute of Technology (KOSEN), Yuge CollegeKamijimaJapan

Personalised recommendations