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| H. Yoshioka, K. Shimari, H. Uwano, and K. Matsumoto, "{Eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis}," In ETRA 25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 51, pp. 1-3, May 2025. | |
| ID | 250 |
| 分類 | 国際会議 |
| タグ | analysis comprehension distributed eye eye2vec learning movement program representations |
| 表題 (title) |
{Eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis} |
| 表題 (英文) |
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| 著者名 (author) |
Haruhiko Yoshioka, Kazumasa Shimari, Hidetake Uwano, Kenichi Matsumoto |
| 英文著者名 (author) |
,,Hidetake Uwano,Kenichi Matsumoto |
| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
,,Hidetake Uwano,Kenichi Matsumoto |
| 書籍・会議録表題 (booktitle) |
ETRA 25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
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| 号数 (number) |
51 |
| ページ範囲 (pages) |
1-3 |
| 組織名 (organization) |
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| 出版元 (publisher) |
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| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
5 |
| 出版年 (year) |
2025 |
| 採択率 (acceptance) |
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| URL |
https://dl.acm.org/doi/10.1145/3715669.3726801 |
| 付加情報 (note) |
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| 注釈 (annote) |
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| 内容梗概 (abstract) |
This paper presents eye2vec, an infrastructure for analyzing software developers’ eye movements while reading source code. In common eye-tracking studies in program comprehension, researchers must preselect analysis targets such as control flow or syntactic elements, and then develop analysis methods to extract appropriate metrics from the fixation for source code. Here, researchers can define various levels of AOIs like words, lines, or code blocks, and the difference leads to different results. Moreover, the interpretation of fixation for word/line can vary across the purposes of the analyses. Hence, the eye-tracking analysis is a difficult task that depends on the time-consuming manual work of the researchers. eye2vec represents continuous two fixations as transitions between syntactic elements using distributed representations. The distributed representation facilitates the adoption of diverse data analysis methods with rich semantic interpretations. |
| 論文電子ファイル | 利用できません． |
| BiBTeXエントリ |
@inproceedings{id250,
title = {{eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis}},
author = {Haruhiko Yoshioka and Kazumasa Shimari and Hidetake Uwano and Kenichi Matsumoto},
booktitle = {ETRA 25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications},
number = {51},
pages = {1-3},
month = {5},
year = {2025},
}
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