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Erschienen in:
Agent-Based Practices for an Intelligent Tutoring System Architecture Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Measuring Stress in an Augmented Training Environment: Approaches and Applications

verfasst von : David Jones, Sara Dechmerowski

Erschienen in: Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience

Verlag: Springer International Publishing

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Abstract

Augmented reality (AR) and virtual reality (VR) training systems provide an opportunity to place learners in high stress conditions that are impossible in real life due to safety risks or the associated costs. Using physiological classifiers it is possible to continually measure the stress levels of learners within AR and VR training environments to adapt training based on their responses. This paper reviews stress measurement approaches, outlines an adaptive stress training model that can be applied to augment training and describes key characteristics and future research that is critical to realizing adaptive VR and AR training platforms that take into account learner stress levels.

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Vorheriges Kapitel Intelligent Tutoring Gets Physical: Coaching the Physical Learner by Modeling the Physical World
Nächstes Kapitel Alternate Rubric for Performance Assessment of Infantry Soldier Skills Training
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Metadaten
Titel
Measuring Stress in an Augmented Training Environment: Approaches and Applications
verfasst von
David Jones
Sara Dechmerowski
Copyright-Jahr
2016
Buch
Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience

Print ISBN: 978-3-319-39951-5

Electronic ISBN: 978-3-319-39952-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39952-2_3

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