Formalization and Quantification of Team Contexts for Meso-cognitive Studies

Taro Kanno, Daichi Mitsuhashi, Satoru Inoue, Daisuke Karikawa, Kohei Nonose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationHuman Systems Engineering and Design - Proceedings of the 1st International Conference on Human Systems Engineering and Design IHSED2018
Subtitle of host publicationFuture Trends and Applications
EditorsTareq Ahram, Redha Taiar, Waldemar Karwowski
PublisherSpringer-Verlag
Pages838-844
Number of pages7
ISBN (Print)9783030020521
DOIs
Publication statusPublished - 2019 Jan 1
Event1st International Conference on Human Systems Engineering and Design: Future Trends and Applications, IHSED 2018 - Reims, France
Duration: 2018 Oct 252018 Oct 27

Publication series

NameAdvances in Intelligent Systems and Computing
Volume876
ISSN (Print)2194-5357

Other

Other1st International Conference on Human Systems Engineering and Design: Future Trends and Applications, IHSED 2018
CountryFrance
CityReims
Period18/10/2518/10/27

Keywords

  • Meso-cognition
  • Task type
  • Team attribute
  • Team classification
  • Team context

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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