A Triage Training System Considering Cooperation and Proficiency of Multiple Trainees

  • Kento IzumidaEmail author
  • Ryuga Kato
  • Hiroshi Shigeno
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10397)


In large-scale disasters, an activity which determines the priority of treatment based on the severity of the injured person, called triage, is important. In recent years, collaboration between medical institutions and people working in disaster sites is much emphasized. However, the triage training that takes each trainee’s proficient and cooperative level into consideration has not been implemented. Based on this background, we propose a triage training system in which the expression of information changes according to the skill level of each trainee. We use beacons instead of real victims in this training. A couple of trainees actually move around to search for beacons, and cooperate to respond to each event. While scenario in the training is not changed, we will change an method of presenting the biometric information of victims according to the skill level of trainees. This enables trainees with different levels of proficiency to collaborate and perform triage exercises. We conducted experimental evaluation of this system. The results revealed the system was effective to implement triage quickly and accurately. In addition, we found the proposal was good for awareness of sharing important information in cooperative activities.


Triage Training User proficiency Cooperative work support Wearable device 


  1. 1.
    Takahashi, S.: Triage for Emergency Nurse, Emergency Life - Saving Person - From Preposition to ER and Disaster. Medica Publishment (2008)Google Scholar
  2. 2.
    Team DMAT Japan: Japan DMAT Activity Procedure.
  3. 3.
    Miyano, M.: Human damage caused by the 1995 Hyogo ken Nanbu Earthquake (part 5) Interview survey on life-saving activities in Higashi Nada Ward, Kobe City. In: Japan Architecture Conference (1996)Google Scholar
  4. 4.
    NPO corporation disaster, medical care, town planning.
  5. 5.
    NHK, Hanshin-Awaji Great Earthquake 19 years Great earthquake where rescue does not come.
  6. 6.
    Ferrer, M., Hodges, J., Bonnardel, N.: The MoLE project: an international experiment about mobile learning environment. In: Proceedings of the 31st European Conference on Cognitive Ergonomics (ECCE 2013). Article 32, p. 5. ACM, New York (2013)Google Scholar
  7. 7.
    Otim, S.: A case-based knowledge management system for disaster management: fundamental concepts. In: Van de Walle, B., Turoff, M. (eds.) Proceedings of the 3rd International ISCRAM Conference, Newark, NJ, USA, pp. 598–604 (2006)Google Scholar
  8. 8.
    Sherstyuk, A., Vincent, D., Jin Hwa Lui, J., Connolly, K.K., Wang, K.L., Saiki, S.M., Caudell, T.P.: Design and development of a pose-based command language for triage training in virtual reality. In: IEEE Symposium on 3D User Interfaces (3DUI 2007), pp. 40–44, March 2007Google Scholar
  9. 9.
    Vincent, D.S., Sherstyuk, A., Burgess, L., Connolly, K.K.: Teaching mass casualty triage skills using immersive three-dimensional virtual reality. Acad. Emerg. Med. 15(11), 1160–1165 (2008)CrossRefGoogle Scholar
  10. 10.
    van der Spek, E.D., Wouters, P., van Oostendorp, H.: Code red: triage or cognition-based design rules enhancing decisionmaking taining in a game environment. Br. J. Educ. Technol. 42(3), 441–455 (2011)CrossRefGoogle Scholar
  11. 11.
    Tayama, Y., Kato, R., Okada, K.: Triage training system: adjusting the difficulty level according to user proficiency. In: 14th International Conference on Mobile and Ubiquitous Multimedia (MUM 2015), pp. 139–147, December 2015Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Graduate School of Science and TechnologyKeio UniversityYokohamaJapan
  2. 2.Faculty of Science and TechnologyKeio UniversityYokohamaJapan

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