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Formalization and Quantification of Team Contexts for Meso-cognitive Studies

  • Taro KannoEmail author
  • Daichi Mitsuhashi
  • Satoru Inoue
  • Daisuke Karikawa
  • Kohei Nonose
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 876)

Abstract

This paper extends our previous model to present a theoretical framework that formalizes team contexts. This model describes major elements of team settings and the conditions and relationships between them. This paper provides details of the proposed model with an example of the formalization of team contexts and discusses how to design virtual experiment settings similar to naturalistic contexts.

Keywords

Team context Team classification Team attribute Task type Meso-cognition 

Notes

Acknowledgements

This work was partly supported by JSPS KAKENHI Grant No. 16H03131.

References

  1. 1.
    Nonose, K., Yoda, Y., Kanno, T., Furuta, K.: An exploratory study: a measure of workload associated with teamwork. Cogn. Technol. Work 18(2), 351–360 (2016)CrossRefGoogle Scholar
  2. 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)CrossRefGoogle Scholar
  3. 3.
    Kanno, T., Inoue, S., Karikawa, D., Chao, D.: Modeling framework of team contexts for the design of laboratory experiments and team training. In: Proceedings of the International Conference on Applied Human Factors and Ergonomics, pp. 155–161 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Taro Kanno
    • 1
    Email author
  • Daichi Mitsuhashi
    • 1
  • Satoru Inoue
    • 2
  • Daisuke Karikawa
    • 3
  • Kohei Nonose
    • 4
  1. 1.The University of Tokyo, Hongo, Bunkyo-kuTokyoJapan
  2. 2.Electronic Navigation Research InstituteChofu, TokyoJapan
  3. 3.Tohoku University, Aoba, AramakiAoba-ku, SendaiJapan
  4. 4.Central Research Institute of Electric Power IndustryYokosukaJapan

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