| Tweet | |
| 山本愛子, "プログラムの実装戦略推定時における脳波の時系列分析," , 2018年2月. | |
| ID | 161 |
| 分類 | 学位論文・卒論・特別研究 |
| タグ | |
| 表題 (title) |
プログラムの実装戦略推定時における脳波の時系列分析 |
| 表題 (英文) |
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| 著者名 (author) |
山本 愛子 |
| 英文著者名 (author) |
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| キー (key) |
Aiko Yamamoto |
| 刊行月 (month) |
2 |
| 出版年 (year) |
2018 |
| 刊行形式 (howpublished) |
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| URL |
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| 付加情報 (note) |
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| 注釈 (annote) |
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| 内容梗概 (abstract) |
Electroencephalogram (EEG) used on a wide research area to measure human brain activities. In Software Engineering research area, several studies combined the program compre- hension and EEG measurement. The EEG is one of the most easy and the most low cost method to measure the programmer’s comprehension process. Therefore, the detection of programmer who need support to understand a program using the EEG measurement is a practical method. In this study, author analyze programmers’ EEG who found implementation strategy to reveal the usefulness of the EEG measurement. As the index of programmer’s brain activity, author select wave, wave, and the ratio of to , which is the frequency component of EEG. In the experiment, each subject assigned programming tasks, and the EEG during/after the task is measured. In the first experiment, the frequency components at during task and after task are analyzed. As a result, wave of subjects who found implementation strategy is a significantly high from subjects who cannot found implementation strategy at both during/after task. The result suggests that wave involved in measured EEG is useful to understand the programmer’s state. In the second experiment, author analyze time series change of the EEG, to clarify the time period when the most influenced from the task condition. The average value of each 1, 5, and 10 seconds wave power spectrum is used as an index. The result of the analysis shows the time period from the sixteen seconds after the task start to the end is most influenced from the task result. Results of two experiments show wave of programmers who found implementation strategy is a significant index. Also the result shows the EEG from early period of the task is a low contribution for analysis. These results suggested that EEG is the useful index to distinguish the programmer who cannot found implementation strategy. EEG as the index to distinguish the programmer’s state able to help them without any interruption, hence useful to improve work/education efficiency. |
| 論文電子ファイル | 147.pdf (application/pdf) [一般閲覧可] |
| BiBTeXエントリ |
@misc{id161,
title = {プログラムの実装戦略推定時における脳波の時系列分析},
author = {山本 愛子},
month = {2},
year = {2018},
}
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