Comparing Programming Language Comprehension between Novice and Expert Programmers Using EEG Analysis

Seolhwa Lee, Andrew Matteson, Danial Hooshyar, SongHyun Kim, Jaebum Jung, GiChun Nam, Heuiseok Lim
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引用次数: 54

Abstract

For programming language comprehension, high cognitive skills (e.g., reading, writing, working memory, etc.) and information processing are required. However, there are few papers that approach this from a neuroscientific perspective. In this paper, we examine program comprehension neuroscientifically and also observe the differences between novice and expert programmers. We designed an EEG (electroencephalogram) experiment and observed 18 participants during a series of program comprehension tasks. We found clear differences in program comprehension ability between novice and expert programmers. Experts exhibited higher brainwave activation than novices in electrodes F3 and P8. These results indicate that experts have outstanding program comprehension-associated abilities such as digit encoding, coarse coding, short-term memory, and subsequent memory effect. Our findings can serve as a foundation for future research in this pioneering field.
用脑电图分析比较新手和老手的编程语言理解能力
对于编程语言的理解,需要较高的认知技能(例如,阅读,写作,工作记忆等)和信息处理。然而,很少有论文从神经科学的角度来研究这个问题。在本文中,我们从神经科学的角度考察了程序理解,并观察了新手和专家程序员之间的差异。我们设计了一个脑电图(EEG)实验,并观察了18名参与者在一系列程序理解任务中的表现。我们发现新手和资深程序员在程序理解能力上存在明显差异。在F3和P8电极上,专家的脑电波活跃度高于新手。这些结果表明,专家在数字编码、粗编码、短期记忆和后续记忆效应等与程序理解相关的能力方面表现突出。我们的发现可以作为这一开创性领域未来研究的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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