Real-time decision support in online training environments

Liz Bacon, Lachlan MacKinnon, David Kananda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 and research tells us that behaviour 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 is possible. The Pandora+ system has been developed to provide a 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 manage an unfolding crisis scenario,modelled 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, behavioural modelling of the trainees, and ambient 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 an unfolding scenario of events are required for training.
Original languageEnglish
Title of host publicationProceedings of the 13th Latin American and Caribbean Conference for Engineering and Technology
Subtitle of host publicationEngineering Education Facing the Grand Challenges, What Are We Doing?
EditorsMaria M. Larrondo Petrie, Humberto Alvarez
PublisherLACCEI
Number of pages8
ISBN (Electronic)9780982289686
DOIs
Publication statusPublished - Jan 2015
Externally publishedYes
EventThe Thirteenth Latin American and Caribbean Conference for Engineering and Technology: Engineering Education Facing the Grand Challenges, What Are We Doing? - Santo Domingo, Dominican Republic
Duration: 29 Jul 201531 Jul 2015
http://www.laccei.org/LACCEI2015-SantoDomingo/

Conference

ConferenceThe Thirteenth Latin American and Caribbean Conference for Engineering and Technology
Abbreviated title13th LACCEI International Conference
CountryDominican Republic
CitySanto Domingo
Period29/07/1531/07/15
Internet address

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Bacon, L., MacKinnon, L., & Kananda, D. (2015). Real-time decision support in online training environments. In M. M. Larrondo Petrie, & H. Alvarez (Eds.), Proceedings of the 13th Latin American and Caribbean Conference for Engineering and Technology: Engineering Education Facing the Grand Challenges, What Are We Doing? [192] LACCEI. https://doi.org/10.18687/LACCEI2015.1.1.192