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Understanding team adaptation to unexpected events in drone operations training

Lombardi, Manuel ; Woltjer, Rogier LU orcid and Patriarca, Riccardo (2026) In Ergonomics
Abstract
Understanding human adaptations under varying scenarios is a critical concern from the earliest stages of system design. This study develops within the context of Advanced Air Mobility (AAM) and examines human performance variability during simulated drone operations using the Event Analysis of Systemic Teamwork (EAST) method. The analysis focuses on bird strike events that each of the five participating teams unexpectedly faced during simulated training scenarios. First, Work-As-Instructed (WAIn) EAST networks were constructed based on available Standard Operating Procedures (SOPs) to be trained. These were subsequently compared to Work-As-Trained (WAT) networks developed based on communication logs and transcribed audio recordings from... (More)
Understanding human adaptations under varying scenarios is a critical concern from the earliest stages of system design. This study develops within the context of Advanced Air Mobility (AAM) and examines human performance variability during simulated drone operations using the Event Analysis of Systemic Teamwork (EAST) method. The analysis focuses on bird strike events that each of the five participating teams unexpectedly faced during simulated training scenarios. First, Work-As-Instructed (WAIn) EAST networks were constructed based on available Standard Operating Procedures (SOPs) to be trained. These were subsequently compared to Work-As-Trained (WAT) networks developed based on communication logs and transcribed audio recordings from training sessions. The comparative analysis reveals both adaptive behavioural observed tendencies and discrepancies in task-knowledge-agent couplings, visualised via a newly developed joint cognitive network variability matrix. The findings highlight the value of capturing trainee behaviours in terms of task, knowledge, and social interactions while using emerging technologies. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Emergent adaptive behaviours, Adaptive performance, Cognitive engineering, Work-as-instructed, Work-as-trained
in
Ergonomics
pages
20 pages
publisher
Taylor & Francis
external identifiers
  • pmid:41566977
  • scopus:105028281874
ISSN
1366-5847
DOI
10.1080/00140139.2026.2618598
language
English
LU publication?
yes
id
ba4f5ccf-3335-4e7c-b3a2-1c48328465ba
date added to LUP
2026-01-22 14:57:32
date last changed
2026-03-23 11:41:13
@article{ba4f5ccf-3335-4e7c-b3a2-1c48328465ba,
  abstract     = {{Understanding human adaptations under varying scenarios is a critical concern from the earliest stages of system design. This study develops within the context of Advanced Air Mobility (AAM) and examines human performance variability during simulated drone operations using the Event Analysis of Systemic Teamwork (EAST) method. The analysis focuses on bird strike events that each of the five participating teams unexpectedly faced during simulated training scenarios. First, Work-As-Instructed (WAIn) EAST networks were constructed based on available Standard Operating Procedures (SOPs) to be trained. These were subsequently compared to Work-As-Trained (WAT) networks developed based on communication logs and transcribed audio recordings from training sessions. The comparative analysis reveals both adaptive behavioural observed tendencies and discrepancies in task-knowledge-agent couplings, visualised via a newly developed joint cognitive network variability matrix. The findings highlight the value of capturing trainee behaviours in terms of task, knowledge, and social interactions while using emerging technologies.}},
  author       = {{Lombardi, Manuel and Woltjer, Rogier and Patriarca, Riccardo}},
  issn         = {{1366-5847}},
  keywords     = {{Emergent adaptive behaviours; Adaptive performance; Cognitive engineering; Work-as-instructed; Work-as-trained}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Taylor & Francis}},
  series       = {{Ergonomics}},
  title        = {{Understanding team adaptation to unexpected events in drone operations training}},
  url          = {{http://dx.doi.org/10.1080/00140139.2026.2618598}},
  doi          = {{10.1080/00140139.2026.2618598}},
  year         = {{2026}},
}