Visually analyzing eye movements on natural language texts and source code snippets
Visually analyzing eye movements on natural language texts and source code snippets
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直观地分析自然语言文本和源代码片段的眼球运动
DOI：
10.1145/3314111.3319917
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Bonita Sharif
中科院分区：
文献类型：
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作者：
Tanja Blascheck;Bonita Sharif
在本文中，我们使用定量和定性方法分析 26 名参与者的眼动数据，以研究人们如何阅读自然语言文本并与源代码进行比较。特别是，我们使用径向转换图可视化来探索参与者在这些阅读任务中的策略并提取参与者之间的共同模式。我们通过示例说明可视化如何在阅读自然语言文本与源代码时揭示人们的行为。我们的结果表明，自然文本的线性阅读顺序仅部分适用于源代码阅读。我们发现了表示线性顺序的模式以及表示按执行顺序读取源代码的模式。参与者还更多地关注那些对于理解核心功能很重要的领域，我们发现他们跳过了不重要的结构，例如括号。
In this paper, we analyze eye movement data of 26 participants using a quantitative and qualitative approach to investigate how people read natural language text in comparison to source code. In particular, we use the radial transition graph visualization to explore strategies of participants during these reading tasks and extract common patterns amongst participants. We illustrate via examples how visualization can play a role at uncovering behavior of people while reading natural language text versus source code. Our results show that the linear reading order of natural text is only partially applicable to source code reading. We found patterns representing a linear order and also patterns that represent reading of the source code in execution order. Participants also focus more on those areas that are important to comprehend core functionality and we found that they skip unimportant constructs such as brackets.