NDLI: Experiences in mixed reality-based collocated after action review

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Experiences in mixed reality-based collocated after action review

Content Provider	Springer Nature Link
Author	Quarles, John Lampotang, Samsun Fischler, Ira Fishwick, Paul Lok, Benjamin
Copyright Year	2013
Abstract	After action review (AAR) is a widely used training practice in which trainees and trainers review past training experiences and performance for the purpose of learning. AAR has often been conducted with video-based systems whereby a video of the action is reviewed afterward, usually at another location. This paper proposes collocated AAR of training experiences through mixed reality (MR). Collocated AAR allows users to review past training experiences in situ with the user’s current, real-world experience, i.e., the AAR is conducted at the same location where the action being reviewed occurred. MR enables a user-controlled egocentric viewpoint, augmentation such as a visual overlay of virtual information like conceptual visualizations, and playback of recorded training experiences collocated with the user’s current experience or that of an expert. Collocated AAR presents novel challenges for MR, such as collocating time, interactions, and visualizations of previous and current experiences. We created a collocated AAR system for anesthesia education, the augmented anesthesia machine visualization, and interactive debriefing system. The system enables collocated AAR in two applications related to anesthesia training: anesthesia machine operation training and skin disinfection training with a mannequin patient simulator. Collocated AAR was evaluated in two informal pilot studies by students (n = 19) and an educator (n = 1) not directly affiliated with the project. We review the anecdotal data collected from the studies and point toward ways to refine and improve collocated AAR.
Starting Page	239
Ending Page	252
Page Count	14
File Format	PDF
ISSN	13594338
Journal	Virtual Reality
Volume Number	17
Issue Number	3
e-ISSN	14349957
Language	English
Publisher	Springer London
Publisher Date	2013-08-31
Publisher Place	London
Access Restriction	Subscribed
Subject Keyword	Mixed reality After action review Anesthesia machine Human patient simulator User studies Skin prepping Computer Graphics Computing Methodologies Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Human-Computer Interaction Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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