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Analysis of Permanence Time in Emotional States: A Case Study Using Educational Software

机译:情绪状态下的持久时间分析:以教育软件为例

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This article presents the results of an experiment in which we investigated how prior algebra knowledge and personality can influence the permanence time from the confusion state to frustration/boredom state in a computer learning environment. Our experimental results indicate that people with a neurotic personality and a low level of algebra knowledge can deal with confusion for less time and can easily feel frustrated/bored when there is no intervention. Our analysis also suggest that people with an extroversion personality and a low level of algebra knowledge are able to control confusion for longer, leading to later interventions. These findings support that it is possible to detect emotions in a less invasive way and without the need of physiological sensors or complex algorithms. Furthermore, obtained median times can be incorporated into computational regulation models (e.g. adaptive interfaces) to regulate students' emotion during the teaching-learning process.
机译:本文介绍了一个实验的结果,其中我们研究了先验代数知识和人格如何影响计算机学习环境中从混乱状态到沮丧/乏味状态的持久时间。我们的实验结果表明,神经质人格和代数知识水平低的人可以在更短的时间内处理混乱,并且在没有干预的情况下很容易感到沮丧/无聊。我们的分析还表明,外向型人格和代数知识水平较低的人能够更长久地控制混乱,从而导致以后的干预。这些发现支持有可能以较小的侵入性方式来检测情绪,而无需生理传感器或复杂的算法。此外,可以将获得的中位数时间并入计算调节模型(例如,自适应接口)中,以在教学过程中调节学生的情绪。

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