TY - GEN
T1 - Modeling framework of team contexts for the design of laboratory experiments and team training
AU - Kanno, Taro
AU - Inoue, Satoru
AU - Karikawa, Daisuke
AU - Chao, Dingding
N1 - Funding Information:
This work was partly supported by JSPS KAKENHI Grant Number 16H03131.
Publisher Copyright:
© Her Majesty the Queen in Right of United Kingdom 2018.
PY - 2018
Y1 - 2018
N2 - This paper presents a modeling framework of team structure that describes major elements of team settings and conditions and the relationships between them. These are the elements of human, task, resource, expertise, authority, tools and devices, and place. The relationships between these elements can capture and summarize important aspects of team structure such as the distribution and sharing of objects and functions to each team member and the physical environment. This paper provides details of the proposed modeling framework and discusses how to assess and quantify the similarity between a naturalistic team setting and a simulated or game-like setting.
AB - This paper presents a modeling framework of team structure that describes major elements of team settings and conditions and the relationships between them. These are the elements of human, task, resource, expertise, authority, tools and devices, and place. The relationships between these elements can capture and summarize important aspects of team structure such as the distribution and sharing of objects and functions to each team member and the physical environment. This paper provides details of the proposed modeling framework and discusses how to assess and quantify the similarity between a naturalistic team setting and a simulated or game-like setting.
KW - Design of experiments and training
KW - Mesocognition
KW - Similarity assessment
KW - Team architecture
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U2 - 10.1007/978-3-319-60645-3_15
DO - 10.1007/978-3-319-60645-3_15
M3 - Conference contribution
AN - SCOPUS:85023199938
SN - 9783319606446
T3 - Advances in Intelligent Systems and Computing
SP - 155
EP - 161
BT - Advances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
A2 - Boring, Ronald Laurids
PB - Springer Verlag
T2 - AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
Y2 - 17 July 2017 through 21 July 2017
ER -