Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Collaboration Technologies and Social Computing - 9th International Conference, CollabTech 2017, Proceedings |
| Publisher | Springer Verlag |
| Pages | 68-83 |
| Number of pages | 16 |
| Volume | 10397 LNCS |
| ISBN (Print) | 9783319630878 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 9th International Conference on Collaboration Technologies and Social Computing, CollabTech 2017 - Saskatoon, Canada Duration: 2017 Aug 8 → 2017 Aug 10 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10397 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 9th International Conference on Collaboration Technologies and Social Computing, CollabTech 2017 |
|---|---|
| Country | Canada |
| City | Saskatoon |
| Period | 17/8/8 → 17/8/10 |
Fingerprint
Keywords
- Cooperative work support
- Training
- Triage
- User proficiency
- Wearable device
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
A triage training system considering cooperation and proficiency of multiple trainees. / Izumida, Kento; Kato, Ryuga; Shigeno, Hiroshi.
Collaboration Technologies and Social Computing - 9th International Conference, CollabTech 2017, Proceedings. Vol. 10397 LNCS Springer Verlag, 2017. p. 68-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10397 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A triage training system considering cooperation and proficiency of multiple trainees
AU - Izumida, Kento
AU - Kato, Ryuga
AU - Shigeno, Hiroshi
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Cooperative work support
KW - Training
KW - Triage
KW - User proficiency
KW - Wearable device
UR - http://www.scopus.com/inward/record.url?scp=85028298752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028298752&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-63088-5_7
DO - 10.1007/978-3-319-63088-5_7
M3 - Conference contribution
AN - SCOPUS:85028298752
SN - 9783319630878
VL - 10397 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 68
EP - 83
BT - Collaboration Technologies and Social Computing - 9th International Conference, CollabTech 2017, Proceedings
PB - Springer Verlag
ER -