Title

Detecting Incorrect Intentions Of Trainees By Context Deviations

Keywords

Automatic After Action Review; Context-based reasoning; Contextual human behavior

Abstract

Conducting After Action Reviews that provides feedback to the majority of the participants in large exercises, with trainees that may reside in different locations can be very complicated. This process requires extensive time and resources, and the review might be limited to the few most important tactical decisions made. However, the evaluation of an exercise is highly important to improve performance of the trainees. This paper presents the latest results in research to automate the After Action Review. Here we present how the intent of a trainee might deviate from the desirable intent and be detected in any training scenario. The technique is to use an expert modeling paradigm based on contexts together with a deviation detection mechanism that can infer the context of the trainee in order to detect discrepancies between him and the expert model. Furthermore, the model is automatically created by observing real human performance. Preliminary results of this approach are described.

Publication Date

12-1-2006

Publication Title

Simulation Interoperability Standards Organization - 15th Conference on Behavior Representation in Modeling and Simulation 2006

Number of Pages

53-61

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84865335328 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84865335328

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