A prediction model of multiple resource theory for dual task walking

E. Cinar, Shikha Saxena, B. McFadyen, A. Lamontagne, I. Gagnon
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引用次数: 2

Abstract

Abstract A model of Multiple Resource Theory (MRT) was created to describe the influence of different concurrent tasks on driving but no such framework exists for DT walking. The objective of this study was to modify MRT model and computational DT framework to explore two task-related concepts—resource demand and resource conflict—in the context of gait and to illustrate the initial validity of the modified model. A literature search was conducted to identify DT walking-related elements related to the MRT model. An instructional guide for utilizing the computational framework was constructed using a modified e-Delphi method. Inter-rater reliability of the constructed guideline was analyzed by Kappa statistics. The initial validity of the modified model was tested using meta-regression analyses. Three new elements were included into the modified model: vestibular and somatosensory perceptions, and locomotor response. The spatial code from the original model was modified into a visuospatial domain. The computational framework was constructed, and two separate guidelines were created for walking and concurrent tasks. Using the guidelines and computational framework, task-related elements were quantified for meta-regression analysis. The analysis showed that the modified model can explain 79% of the variability in speed reduction during DT walking.
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双任务步行的多资源理论预测模型
摘要建立了一个多资源理论模型来描述不同并发任务对驾驶的影响,但DT步行没有这样的框架。本研究的目的是修改MRT模型和计算DT框架,以探索步态背景下与任务相关的两个概念——资源需求和资源冲突,并说明修改模型的初始有效性。进行文献检索,以确定与MRT模型相关的DT步行相关元素。使用改进的e-Delphi方法构建了使用计算框架的教学指南。通过Kappa统计分析构建的指南的评分者间可靠性。使用元回归分析测试了修正模型的初始有效性。修改后的模型包含了三个新元素:前庭和体感感知以及运动反应。将原始模型中的空间代码修改为视觉空间域。构建了计算框架,并为步行和并发任务创建了两个独立的指导方针。使用指南和计算框架,对任务相关元素进行量化,用于元回归分析。分析表明,修正后的模型可以解释DT步行过程中79%的减速变化。
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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
38
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