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Journal Article

Citation

Keebler JR, Jentsch F, Schuster D. Hum. Factors 2014; 56(8): 1482-1496.

Copyright

(Copyright © 2014, Human Factors and Ergonomics Society, Publisher SAGE Publishing)

DOI

unavailable

PMID

25509826

Abstract

OBJECTIVE: We investigated the effects of active stereoscopic simulation-based training and individual differences in video game experience on multiple indices of combat identification (CID) performance.

BACKGROUND: Fratricide is a major problem in combat operations involving military vehicles. In this research, we aimed to evaluate the effects of training on CID performance in order to reduce fratricide errors.

METHOD: Individuals were trained on 12 combat vehicles in a simulation, which were presented via either a non-stereoscopic or active stereoscopic display using NVIDIA's GeForce shutter glass technology. Self-report was used to assess video game experience, leading to four between-subjects groups: high video game experience with stereoscopy, low video game experience with stereoscopy, high video game experience without stereoscopy, and low video game experience without stereoscopy. We then tested participants on their memory of each vehicle's alliance and name across multiple measures, including photographs and videos.

RESULTS: There was a main effect for both video game experience and stereoscopy across many of the dependent measures. Further, we found interactions between video game experience and stereoscopic training, such that those individuals with high video game experience in the non-stereoscopic group had the highest performance outcomes in the sample on multiple dependent measures.

CONCLUSION: This study suggests that individual differences in video game experience may be predictive of enhanced performance in CID tasks. APPLICATION: Selection based on video game experience in CID tasks may be a useful strategy for future military training. Future research should investigate the generalizability of these effects, such as identification through unmanned vehicle sensors.


Language: en

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