Accelerated training: the use of faster-than-real-time speeds can reduce the time-to-skill factor in simulator training

Geoffrey N. Hone; Samantha Morrison

doi:10.1117/12.270341

3 April 1997 Accelerated training: the use of faster-than-real-time speeds can reduce the time-to-skill factor in simulator training

Geoffrey N. Hone, Samantha Morrison

Author Affiliations +

Proceedings Volume 3028, Real-Time Imaging II; (1997) https://doi.org/10.1117/12.270341
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

Reports of training, where a simulator is run above normal speed, suggest potential benefits, but are confounded by the use of mixed training schedules. We report how two groups of participants were trained on a target tracking and acquisition simulator,with simulator speed as the only between-groups variable. Each group had two familiarization, and 20 training runs, where circular targets travelled in sets of two or three across an out-of-focus, digitized, real-world landscape, and could be tracked and acquired in a sequence chosen by each participant. The sole difference between groups was that one were given targets travelling 90 percent faster than normal speeds over the same distance. 24 hours later, each group was tested on sets of four targets travelling at normal speed. Those participants trained in accelerated conditions were significantly faster at acquiring each target than the control group, and equally accurate. The accelerated group came near to peak performance during training, while the control group were still improving throughout the test phase. It is considered that training under accelerated conditions can offer the alternative potential advantages of reaching a specified standard in a shorter training period, or of attaining a higher standard with the same amount of training time.

Citation Download Citation

Geoffrey N. Hone and Samantha Morrison "Accelerated training: the use of faster-than-real-time speeds can reduce the time-to-skill factor in simulator training", Proc. SPIE 3028, Real-Time Imaging II, (3 April 1997); https://doi.org/10.1117/12.270341

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