The Implementation Of Instructional Strategies For Training In A Virtual Environment: An Exploratory Investigation Of Workload And Performance

Keywords

Kinesic cues; NASA-TLX; Simulation-Based Training (SBT); Virtual environment; Workload

Abstract

This study expanded upon the use of Simulation-Based Training (SBT) to enhance kinesic cue detection in military operations. The research investigated three SBT instructional strategies: Massed Exposure (ME), Highlighting, and Kim’s Game. An additional Control condition was included as a validity measure for the tested instructional strategies. Each strategy provided a separate perceptual experience for learning how to detect the target kinesic cues specified: aggressiveness and nervousness. The subjects’ workload scores from the NASA-Task Load Index (NASA-TLX) subscales of performance, effort, and frustration provided greater understanding of each strategy’s impact on perceptual skill improvement. For each instructional strategy, this research increased understanding of workload efficiencies and highlighted potential applications. Examination of descriptive statistics revealed that Kim’s Game scored the lowest in detection accuracy, and exceeded both Highlighting and ME in terms of effort, performance, and frustration on the NASA-TLX. Highlighting scored highest in detection accuracy, but lowest in effort, performance, and frustration. The Control and ME scored neither highest nor lowest for all NASA-TLX subscales and detection accuracy. Given the results, the instructional strategies may be implemented individually or used in combinations for a desired training effect. Kim’s Game may be suited for training experts, whereas Highlighting and ME may be suited for novice trainees. Additional fields, such as baggage screening, healthcare, and education may benefit from implementation of workload-appropriate perceptual training strategies within a virtual environment.

Publication Date

1-1-2017

Publication Title

Communications in Computer and Information Science

Volume

714

Number of Pages

88-94

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-58753-0_14

Socpus ID

85025176512 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85025176512

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