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Synchronized Analysis of Eye Movement and EEG during Program Comprehension

机译:程序理解过程中眼动与脑电图的同步分析

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Appropriate support for program comprehension contributes to efficient software development. Several previous studies used bio-information such as brain activity to classify the inner-state of programmer without interruption. In this paper, we measure programmer's brain waves and eye movement simultaneously while they comprehend the source code. In the experiment, we analyze difference of time-series brain wave features between success/failure for source code comprehension task. The result of the experiment showed the participants who success source code comprehension significantly increased power spectrum of α wave with the time passage. Also the eye movements of the succeed participants shift their focus of fixation from specification to source code in early time. Synchronized analysis of failed programmer shows similar but slow pattern of EEG and eye movement changes compared with succeed programmer.
机译:对程序理解的适当支持有助于有效的软件开发。先前的一些研究使用生物信息(例如大脑活动)来对程序员的内部状态进行分类,而不会受到干扰。在本文中,我们同时测量了程序员的脑电波和眼睛运动,同时他们理解了源代码。在实验中,我们针对源代码理解任务分析了成功/失败之间时间序列脑电波特征的差异。实验结果表明,随着时间的流逝,成功理解源代码的参与者大大提高了α波的功率谱。此外,成功参与者的眼球运动会在早期将他们的注意力从规范转移到源代码。与成功的程序员相比,对失败的程序员的同步分析显示出类似但缓慢的EEG模式和眼球运动变化。

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