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增强反馈在虚拟环境中助力轮椅训练。

Augmented feedback for powered wheelchair training in a virtual environment.

机构信息

Integrated Program in Neuroscience, McGill University, Montreal, Canada.

Interdisciplinary Research Center in Rehabilitation (CRIR), Montreal, Canada.

出版信息

J Neuroeng Rehabil. 2019 Jan 18;16(1):12. doi: 10.1186/s12984-019-0482-3.

Abstract

BACKGROUND

Powered wheelchair (PW) driving is a complex activity and requires the acquisition of several skills. Given the risks involved with PW use, safe and effective training methods are needed. Virtual reality training allows users to practice difficult tasks in a safe environment. An additional benefit is that augmented feedback can be provided to optimize learning. The purpose of this study was to investigate whether providing augmented feedback during powered wheelchair simulator training results in superior performance, and whether skills learned in a virtual environment transfer to real PW driving.

METHODS

Forty healthy young adults were randomly allocated to two groups: one received augmented feedback during simulator training while the control group received no augmented feedback. PW driving performance was assessed at baseline in both the real and virtual environment (RE and VE), after training in VE and two days later in VE and RE (retention and transfer tests).

RESULTS

Both groups showed significantly better task completion time and number of collisions in the VE after training and these results were maintained two days later. The transfer test indicated better performance in the RE compared to baseline for both groups. Because time and collisions interact, a post-hoc 2D Kolmogonov-Smirnov test was used to investigate the differences in the speed-accuracy distributions for each group; a significant difference was found for the group receiving augmented feedback, before and after training, whereas the difference was not significant for the control group. There were no differences at the retention test, suggesting that augmented feedback was most effective during and immediately after training.

CONCLUSIONS

PW simulator training is effective in improving task completion time and number of collisions. A small effect of augmented feedback was seen when looking at differences in the speed-accuracy distributions, highlighting the importance of accounting for the speed-accuracy tradeoff for PW driving.

摘要

背景

电动轮椅(PW)驾驶是一项复杂的活动,需要掌握多项技能。鉴于 PW 使用存在风险,需要采用安全有效的培训方法。虚拟现实培训允许用户在安全的环境中练习困难的任务。另一个好处是可以提供增强反馈以优化学习。本研究的目的是调查在电动轮椅模拟器培训中提供增强反馈是否会导致更好的表现,以及在虚拟环境中学习的技能是否可以转移到真实的 PW 驾驶中。

方法

40 名健康的年轻人被随机分配到两组:一组在模拟器培训中接受增强反馈,而对照组则没有接受增强反馈。在真实环境(RE)和虚拟环境(VE)中,在 VE 中进行培训前后以及两天后,评估 PW 驾驶性能(保留和转移测试)。

结果

两组在 VE 中的任务完成时间和碰撞次数在培训后均显著减少,且这些结果在两天后仍保持不变。转移测试表明,两组在 RE 中的表现均优于基线。由于时间和碰撞相互作用,因此使用 2D Kolmogonov-Smirnov 后验检验来研究每组的速度-准确性分布差异;发现接受增强反馈的组在培训前后均存在显著差异,而对照组则没有显著差异。在保留测试中没有差异,这表明增强反馈在培训期间和之后最有效。

结论

PW 模拟器培训可有效提高任务完成时间和碰撞次数。当观察速度-准确性分布差异时,增强反馈的效果很小,这突出了在 PW 驾驶中考虑速度-准确性权衡的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22d6/6339295/cfef61e32a3c/12984_2019_482_Fig2_HTML.jpg

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