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Synchronized Analysis of Eye Movement and EEG during Program Comprehension

机译:在计划理解期间眼球运动和脑电图的同步分析

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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:适当支持计划理解有助于有效的软件开发。几个以前的研究使用了大脑活动的生物信息,以便在没有中断的情况下对编程器的内部状态进行分类。在本文中,我们在理解源代码时同时测量程序员的大脑波和眼睛运动。在实验中,我们分析了源代码理解任务的成功/失败之间的时间序列脑波特征的差异。实验结果显示了成功源代码理解的参与者与时段的α波的功率谱显着增加。此外,成功参与者的眼部运动将它们的固定焦点转移到早期的规范到源代码。与成功编程器相比,失败程序员的同步分析显示了类似但脑电图和眼部运动的慢模式。

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