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Toward Wearable Devices for Multiteam Systems Learning

  • Brenda BannanEmail author
  • Samantha Dubrow
  • Christian Dobbins
  • Stephen Zaccaro
  • Hemant Purohit
  • Mohammed Rana
Chapter

Abstract

This chapter provides an overview of an exploratory case study involving a multiteam system in the fire and rescue emergency context incorporating human sensor analytics (e.g., proximity sensors) and other data sources to reveal important insights on within- and between-team learning and training. Incorporating a design research approach, the case study consisting of two live simulation scenarios that informed the design and development of a wearable technology-based system targeted to capture team-based behavior in the live simulation and visualize it during the debriefing session immediately following to potentially inform within- and cross-team behavior from a multiteam systems perspective informed by theory and practice.

Notes

Acknowledgement

This material is based upon work supported by the National Science Foundation under Grant No. 1637263. Any opinions, findings and conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Brenda Bannan
    • 1
    Email author
  • Samantha Dubrow
    • 2
  • Christian Dobbins
    • 2
  • Stephen Zaccaro
    • 2
  • Hemant Purohit
    • 3
  • Mohammed Rana
    • 3
  1. 1.Learning Technologies, George Mason UniversityFairfaxUSA
  2. 2.Organizational Psychology, George Mason UniversityFairfaxUSA
  3. 3.Information Science and Technology, George Mason UniversityFairfaxUSA

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