Understanding team adaptation to unexpected events in drone operations training

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.

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Publication Details

Journal
Ergonomics
Published
2026-01-22
DOI
https://doi.org/10.1080/00140139.2026.2618598
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Understanding team adaptation to unexpected events in drone operations training

Rogier Woltjer, Manuel Lombardi
Ergonomics
Human-Automation Interaction and Safety
article

Understanding team adaptation to unexpected events in drone operations training

Rogier Woltjer, Manuel Lombardi
article en

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.

Ergonomics
Civil Aviation University of China (CN), Sapienza University of Rome (IT)
Openalex Percentile: Top 85%
Human-Automation Interaction and Safety
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