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Understand and characterize mental effort in a programming-oriented task

机译:在面向编程的任务中理解并刻画脑力劳动

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The human brain is a very complex physiological system, involving billions of interacting physiological and chemical processes giving rise to the experimentally observed neuroelectrical activity measured through electroencephalographic signals (EEG). An EEG can reflect the state of mind and the human brain activity. The aim of this research was to analyze several important cognitive parameters (Attention, Meditation) using the Neurosky Mindwave Mobile Headset and EEG analyzer application, while students performed a programming problem-solving oriented task. The variability of Theta and Beta bands energy during the tasks was studied to understand its relation to the cognitive parameters. Our results suggest that beta frequency energy increased when the tasks demanded a higher level of reasoning, when a change in the task paradigm happened, when participants showed more difficulties or when they needed more time to complete tasks (Attention). On the other hand, a high level of energy in theta band was found in states of drowsiness and deep relaxation (Meditation).
机译:人脑是一个非常复杂的生理系统,涉及数十亿个相互作用的生理和化学过程,从而产生了通过脑电图信号(EEG)测量的实验观察到的神经电活动。脑电图可以反映精神状态和人脑活动。这项研究的目的是使用Neurosky Mindwave移动耳机和EEG分析仪应用程序分析几个重要的认知参数(注意力,冥想),同时学生执行面向解决问题的编程任务。研究了任务期间Theta和Beta能量的可变性,以了解其与认知参数的关系。我们的结果表明,当任务需要更高层次的推理,任务范式发生变化,参与者表现出更多困难或需要更多时间来完成任务时,β频率能量会增加(注意)。另一方面,在睡意和深度放松(冥想)状态下,theta带中的能量水平很高。

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