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Modeling Framework of Team Contexts for the Design of Laboratory Experiments and Team Training

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 589))

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Abstract

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.

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References

  1. Letsky, M.P., Warner, N.W., Fiore, S.M., Smith, C.A.P.: Macrocognition in Teams: Theories and Methodologies. Ashgate, Aldershot (2008)

    Google Scholar 

  2. Klein, G., Ross, K.G., Moon, B.M., Klein, D.E., Hoffman, R.R., Hollnagel, R.: Macrocognition. IEEE Intell. Syst. 18(3), 81–85 (2003)

    Article  Google Scholar 

  3. Hollnagel, E.: Safety-I & Safety-II. CRC Press, Boca Raton (2014)

    Google Scholar 

  4. Nemeth, P.C., Hollnagel, E.: Resilience Engineering in Practice, Vol. 2: Becoming Resilient. Ashgate, CRC Press, Aldershot (2014)

    Google Scholar 

  5. Devine, J.D.: A review and integration of classification systems relevant to teams in organization. Group Dyn. Theory Res. Pract. 6(4), 291–310 (2002)

    Article  Google Scholar 

  6. Nonose, K.: Study on team cognition based on meta-cognition, Doctoral thesis, School of Engineering. The University of Tokyo (2010)

    Google Scholar 

  7. Steiner, I.: Group Process and Productivity. Academic Press, New York (1972)

    Google Scholar 

  8. McGrath, J.E.: Groups: Interaction and Performance. Prentice Hall Inc., Upper Saddle River (1984)

    Google Scholar 

  9. Krackhardt, D., Carley, K.M.: A PCANS model of structure in organizations. In: Proceedings of 1998 International Symposium on Command and Control Research and Technology, pp. 113–119 (1998)

    Google Scholar 

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Acknowledgments

This work was partly supported by JSPS KAKENHI Grant Number 16H03131.

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Authors and Affiliations

  1. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan

    Taro Kanno & Dingding Chao

  2. Electronic Navigation Research Insititute, 7-42-23 Jindaiji-Higashi-Machi, Chofu, Tokyo, Japan

    Satoru Inoue

  3. Tohoku University, 6-6-11 Aramaki Aza Aoba, Aoba-ku, Sendai, Miyagi, Japan

    Daisuke Karikawa

Authors
  1. Taro Kanno
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  2. Satoru Inoue
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  3. Daisuke Karikawa
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  4. Dingding Chao
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Corresponding author

Correspondence to Taro Kanno .

Editor information

Editors and Affiliations

  1. Idaho National Laboratory, Idaho Falls, Idaho, USA

    Ronald Laurids Boring

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Kanno, T., Inoue, S., Karikawa, D., Chao, D. (2018). Modeling Framework of Team Contexts for the Design of Laboratory Experiments and Team Training. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_15

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  • DOI: https://doi.org/10.1007/978-3-319-60645-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60644-6

  • Online ISBN: 978-3-319-60645-3

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