Evaluating gender difference on algorithmic problems using eye-tracker
Evaluating gender difference on algorithmic problems using eye-tracker
复制标题
使用眼动仪评估算法问题上的性别差异
DOI：
10.1145/3204493.3204537
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Mohammed Al Haek
中科院分区：
文献类型：
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作者：
U. Obaidellah;Mohammed Al Haek
编程理解方面的性别差异一直是近年来讨论的话题。我们对 51 名（21 名女性，30 名男性）计算机科学本科生进行了眼动追踪研究，以检查他们在伪代码理解方面的认知过程。我们的目标是在解决不同难度级别的算法问题时，从性能和视觉效果方面确定他们在理解伪代码时的阅读策略和眼睛注视行为。每个学生都完成了一系列任务，要求他们按照所提出问题的正确顺序重新排列随机伪代码语句。我们的结果表明，男学生分析问题的速度更快，而女学生在理解问题要求上的专注时间更长。此外，女生更常关注指示性动词（即提示、打印），而男生更关注操作语句（即循环、变量计算、文件处理）。
Gender differences in programming comprehension has been a topic of discussion in recent years. We conducted an eye-tracking study on 51(21 female, 30 male) computer science undergraduate university students to examine their cognitive processes in pseudocode comprehension. We aim to identify their reading strategies and eye gaze behavior on the comprehension of pseudocodes in terms of performance and visual effort when solving algorithmic problems of varying difficulty levels. Each student completed a series of tasks requiring them to rearrange randomized pseudocode statements in a correct order for the problem presented. Our results indicated that the speed of analyzing the problems were faster among male students, although female students fixated longer in understanding the problem requirements. In addition, female students more commonly fixated on indicative verbs (i.e., prompt, print), while male students fixated more on operational statements (i.e., loops, variables calculations, file handling).