STO-Activities: (no title)
Activity title:
COGARMY: COGnitive training and teamwork assessment of ARMY personnel
Activity Reference:
HFM-374
Panel:
HFM
Security Classification:
NATO UNCLASSIFIED
Status:
Active
Activity type:
RTG
Start date:
2023-11-22T00:00:00Z
Actual End date:
2026-11-22T00:00:00Z
Keywords:
Cognitive and Emotional States, Human Factors Integration, Human Performance Monitoring, Individual and Team Training, Teamwork
Background:
Inappropriate training and teamwork assessment might have either high social cost and economic impacts, especially in high risks contexts. Although training and teamwork are crucial in the contemporary industry and society, objective methodologies to evaluate their dynamics and effectiveness are still missing. In fact, conventional methods to gather information about training progress, individual’s psychophysical and operational status, and evaluate teamwork are typically based on expert supervision (briefing and de-briefing), self-reports, or performance statistics. The computation of synthetic neurophysiological measures, called hereafter Neurometrics, for the investigation of Human Factors (HFs) may radically change the entire field of training progress and teamwork assessment. In fact, while this approach has been mainly used for single user evaluation while dealing with tasks, its application for training and teamwork assessment still remain limited to what proposed by behavioural-psychological concepts like Crew and Team Resources Management (CRM/TRM). Recent studies proposed different solutions for assessing the training and teamwork.
In this perspective, COGARMY aims at developing an innovative framework for obtaining insights about cognitive and emotional processes underlying training progress and teamwork dynamics and efficiency. Multimodal approach and state-of-the-art data processing, data mining, and reasoning models will be employed to achieve this goal.
Objectives:
The methodology of COGARMY will be developed through four main scientific and industrial challenges (SC1 ÷ SC4) which are reported and described in detail below.
SC1 Adapt state-of-the-art Machine Learning (ML) and Multivariate Autoregressive (MVAR) models to provide standard Neurometrics for measuring the HFs, and definitively characterise and measure the single-member’s Human Performance Envelope (HPE) in real contexts.
SC2 Developing an innovative methodology for objectively assessing training progress throughout the different phases and sessions.
SC3 Developing a novel hyperscanning-based framework, together with ML and MVAR methods, to model neurophysiological aspects underlying teamwork.
SC4 Exploiting ontologies to convert all different kinds of data into structured format and define set of logic rules for the reasoning structure (Decision Support System - DSS) by which finally combine those data accordingly.
Topics:
The importance and the interest in the concept of training in operative environments (aviation, hospital, public transport) is reflected by the regular publication of scientific reviews in the Annual Review of Psychology since 1971. Training not only could result in the acquisition of new skills but also in improved declarative knowledge, communication with team members, enhance strategic knowledge, defined as knowing when to apply a specific knowledge or skill, in particular during unexpected events. Nowadays one of the current limitations of the standard training assessment procedures is indeed the lack of objective information about the amount of cognitive resources requested by the trainees during the operative activity.
Therefore, one of the aims of COGARMY in terms of fundamental research is to develop a Training Index through neurophysiological data processing to provide additional objective information regarding the progresses of a trainee throughout the training program.
SYNERGIES AND COMPLEMENTARIES
The activities needed to achieve the objectives of the project proposed will be addressed by a consortium that combines scientific academic expertise in terms of HFs evaluation, neurophysiological data processing, computer science, and human interactions and cognitive processes characterisation together with industrial facilities and stakeholders like Training Schools, Airlines, operational rooms\simulators, professional personnel, equipment (e.g. aircrafts, surgery rooms).
Contact:
Open2Partners:
Title:
Created at 12/03/2024 14:00 by System Account
Last modified at 16/05/2024 19:01 by System Account
Go back to list
Home(NATO STO)