92
Views
0
CrossRef citations to date
0
Altmetric
Articles

Temporality tensions in the design of simulation-based training: the case of the Tall Grass local-to-state disaster response exercise

Pages 256-274 | Received 12 Sep 2022, Accepted 06 Jun 2023, Published online: 19 Nov 2023
 

ABSTRACT

In simulation-based training, learners apply skills in an environment that approximates the real conditions of work. Trainers who design a simulation also employ assumptions about the design of communication, or how they believe learners should communicate. More specifically, simulation-based training events draw work groups’ attention to communication expectations related to timing, timelines, and timeliness. Competing perspectives may produce temporality tensions. To better understand how temporality tensions affect work and workers, I conducted a qualitative case study of a large, multi-agency disaster-response exercise (the ‘Tall Grass’ exercise), which simulated a search-and-rescue operation. I identified competing design logics related to synching work streams, pacing activities, and providing feedback or input at the ‘right’ time, and I identified counterproductive effects of adopted communication designs. In response to the findings, I suggest alternative designs for communication that offer better function, fit, and attention to fragmented interests.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author, E.C., upon reasonable request.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 192.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.