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Deconstructing the tower: Parameters and predictors of problem difficulty on the Tower of London task

机译:解构塔:伦敦塔任务中问题难度的参数和预测因子

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摘要

The Tower of London (TOL) task has been widely used in both clinical and research realms. In the current study, 104 healthy participants attempted all possible moderate- to high-difficulty TOL problems in order to determine: (1) optimal measures of problem solving performance, (2) problem characteristics, other than the minimum moves necessary to solve the problem, that determine participants' difficulty in solving problems successfully, quickly, and efficiently, and (3) effects of increased task experience on which problem characteristics determine problem difficulty. A factor analysis of six performance measures found that, regardless of task experience, problem difficulty could be captured well either by a single factor corresponding to general quality of solution or possibly by three subordinate factors corresponding to solution efficiency, solution speed, and initial planning speed. Regression analyses predicting these performance factors revealed that in addition to a problem's minimum moves three problem parameters were critical in determining the problem difficulty: goal position hierarchy, start position hierarchy, and number of solution paths available. The relative contributions of each of the characteristics strongly depended on which performance factor defined performance. We conclude that TOL problem performance is multifaceted, and that classifying problem difficulty using only the minimum moves necessary to solve the problem is inadequate.
机译:伦敦塔(TOL)任务已在临床和研究领域中广泛使用。在当前的研究中,有104位健康的参与者尝试了所有可能的中到高难度TOL问题,以确定:(1)解决问题绩效的最佳方法,(2)问题特征,而不是解决问题所需的最小动作,确定参与者成功,快速和有效解决问题的难度,以及(3)问题特征决定问题难度的任务体验增加的影响。通过对六个绩效指标的因素分析发现,无论任务经验如何,都可以通过与解决方案总体质量相对应的单个因素或与解决方案效率,解决方案速度和初始计划速度相对应的三个从属因素来很好地捕获问题难度。预测这些性能因素的回归分析表明,除了问题的最小移动之外,三个问题参数对于确定问题难度也很关键:目标位置层次,起始位置层次和可用的解决方案路径数。每个特性的相对贡献在很大程度上取决于哪个性能因素定义了性能。我们得出的结论是,TOL问题的表现是多方面的,并且仅使用解决问题所必需的最小动作对问题难度进行分类是不够的。

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