Contrasting Instructional Strategies Suited To A Detection Task: Examining Differences In Subjective Workload
Keywords
Instructional design for simulations; Signal detection; Training effectiveness; Virtual environments; Workload
Abstract
Soldiers benefit from the ability to detect threats conveyed via human kinesic cues, or non-verbal body movements. Simulation-Based Training (SBT) supplies an avenue to improve kinesic cue detection performance. Instructional strategies in SBT are designed to enhance performance outcomes, and are tied to workload in terms of training effectiveness. Three instructional strategies were analyzed in a between-subjects design for their degree of perceived workload: Highlighting, Massed Exposure, and Kim’s game. Workload included subjective mental and global demand subscales from the NASA-Task Load Index (NASA-TLX). A multivariate analysis of variance showed that Kim’s game contained the highest mental and global demands; Highlighting produced the lowest mental and global demands. The differences in demands suggest rationales for strategy placement, in terms of combinations (e.g., layers or progressions) and other applications (e.g., air traffic control, medical diagnosis, and After-Action Reviews). The strategies’ workload differences are also traced to differences in attention and working memory.
Publication Date
1-1-2017
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
10280
Number of Pages
261-273
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-57987-0_21
Copyright Status
Unknown
Socpus ID
85021679671 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85021679671
STARS Citation
Maraj, Crystal; Hurter, Jonathan; Aubrey, William; Wolfe, Elizabeth; and Hudson, Irwin, "Contrasting Instructional Strategies Suited To A Detection Task: Examining Differences In Subjective Workload" (2017). Scopus Export 2015-2019. 6468.
https://stars.library.ucf.edu/scopus2015/6468