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Supporting real-time decision-making under stress in an online training environment

Supporting real-time decision-making under stress in an online training environment

Bacon, Liz, MacKinnon, Lachlan and Kananda, David (2017) Supporting real-time decision-making under stress in an online training environment. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. pp. 1-11. ISSN 1932-8540 (doi:

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Multi-agency crisis management represents one of the most complex real-world situations, requiring rapid negotiation and decision-making under extreme pressure. However, the training provided to Gold Commanders (strategic planners) typically lacks the stress of a real crisis, while research tells us that behavior and decision-making are significantly affected by stress. It is therefore vital that training puts trainees under the pressure of a real crisis situation as far as possible. The Pandora+ system, developed from an EU FP7 research project, provides a unique, original, realistic, immersive, augmented reality training environment in which the stress of each individual trainee can be managed by the trainer, during a training event, with the support of system intelligence. The system uses AI planning techniques to model an unfolding crisis scenario, realized as an event network which can be dynamically updated by the trainer during a training event. This modelling includes points of decision for trainees managed by automated rules from a knowledge base, behavioral modelling of the trainees, and dynamic management of the environment to provide affective inputs to control and manage trainee stress. In this context, the system controls and reacts to trainee performance in relation to the events and decision points and can dynamically remodel and reconfigure the event network to respond appropriately to trainee decisions. The environment can also represent any missing trainees within the scenario and has the potential to provide training in any domain where a timeline-based scenario of events is required for training. This entire approach is completely novel in crisis training and has been rigorously tested in several trials, the most recent involving close to 150 participants, and has the potential to transform online learning in many domains, not just crisis management.

Item Type: Article
Uncontrolled Keywords: eLearning; Decision Support; Smart Environment; Crisis management training environment; Timeline-based event network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Greenwich Research into Innovative Pedagogies (GRIP)
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 26 Nov 2020 22:34
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: GREAT a
Selected for GREAT 2019: GREAT 6
Selected for REF2021: None

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