一句话：利用 EEG 测量 alpha/beta 波，识别程序员编程时的注意力水平与脑疲劳。
论文关注 IT 项目开发效率问题，提出通过监控程序员编程过程中的注意力来帮助其更好集中，并及时发现注意力和脑力疲劳下降。研究采用脑电图（EEG）作为该环境下较有前景且现实的测量手段，分析编程心理负荷下的脑功能状态特征。结果表明，通过控制 alpha 和 beta 波可以判定注意力水平，并且编程状态相比驾驶这一另一种心理负荷类型具有特定的脑功能特征。该工作为面向开发者的注意力追踪与疲劳检测提供了基于 EEG 的初步依据。
For improving speed and quality of development of IT projects it is essential to study how to increase the efficiency of developers. One way to improve the quality of developers' work is to help them concentrate better, timely detect a drop in concentration and brain fatigue, which could be done by controlling the level of attention during programming. This study focuses on the study of the level of attention of programmers using EEG (electroencephalogram), as the most promising and realistic for use in this environment. We found that the level of attention can be determined using the control of alpha and beta waves measured using EEG, as well as specific features of the functional state of the brain compared to another type of mental load - driving.
DOI 原文 ·
@inproceedings{paperbot5756,
title = {Attention tracking for developers},
author = {Rozaliya Amirova},
booktitle = {FSE},
year = {2020},
doi = {10.1145/3368089.3418778}
}