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Learning effect and its prediction for cognitive tests used in studies on indoor environmental quality

机译：室内环境质量研究的学习效果及其对认知测验的预测

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This study aimed to identify the law of cognitive test scores with the number of repetitions, and to establish a prediction model that quantitatively describes the changes in cognitive test scores. The experiments were conducted in a chamber that simulated an office environment. Participants performed neurobehavioral, Tsai-Partington, typing and d2 tests at 26 degrees C. The speed and accuracy were used to reflect the cognitive test scores. The results demonstrated that a significant learning effect occurred in these cognitive test scores. The speed and accuracy of completing cognitive tests increased as the number of repetitions increased. The majority of cognitive tests could achieve stability after five repetitions and, at most, eight repetitions. The learning effect had different effects on the speed and accuracy. The percentage improvement of the speed was higher compared with accuracy, but it took more attempts to reach stability. The regression model based on the logistic function could accurately quantify the tendency for the variation in cognitive test scores with the number of repetitions. Compared with the power, linear and logarithmic functions, the logistic function had a higher R-2( 0.99). A method for correcting the learning effect of these cognitive tests was proposed based on the prediction model. (C) 2019 Elsevier B.V. All rights reserved.
机译：这项研究旨在确定认知测验分数与重复次数的规律，并建立一个定量描述认知测验分数变化的预测模型。实验是在模拟办公室环境的室内进行的。参与者在26摄氏度下进行了神经行为，蔡-帕丁顿（Tsai-Partington），打字和d2测试。速度和准确性用于反映认知测试得分。结果表明，在这些认知测验分数中出现了显着的学习效果。随着重复次数的增加，完成认知测验的速度和准确性也会提高。大多数的认知测验在进行五次重复（最多八次重复）后可以达到稳定性。学习效果对速度和准确性有不同的影响。与准确度相比，速度提高的百分比更高，但是需要更多的尝试才能达到稳定。基于逻辑函数的回归模型可以准确地量化认知测试分数随重复次数变化的趋势。与幂函数，线性函数和对数函数相比，逻辑函数具有更高的R-2（> 0.99）。在预测模型的基础上，提出了一种纠正这些认知测验的学习效果的方法。 （C）2019 Elsevier B.V.保留所有权利。

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