Preliminary findings on tools for the analysis of mental activity of programmers using EEG data from portable devices

Rozaliya Amirova, Vladimir Ivanov, Sergey Masyagin, Aldo Spallone, G. Succi
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引用次数: 1

Abstract

Developers are indeed the most important resource in software production, and the individual developers are hard to substitute. The core of the work of the developers of knowledge intensive systems is in their mind, and this now a growing interest in understanding how to detect and model the state of their mind. Such analysis would enable to determine and model the optimal situation to develop in terms, for instance, of speed of development, minimization of errors, etc., and, to the extent possible, to recreate or to get close to such situation while organizing the work, the processes, the tools, and so on. The problem of performing such analysis is that the most refined equipment to model the work of the mind, like the fMRI, is very expensive and not movable. However, a tool, MNE, has been developed who is able to recreate accurate approximations using EEG of the data coming from an accurate wearable device that would come from the fMRI. This is a major enabler of the research in this area and in this paper details on why to select it and how to use it are provided. Current paper makes proof-of-concept to show that EEG is applicable for for retrieving information about functional state of the brain especially with a help of MNE tool.
使用便携式设备的脑电图数据分析程序员心理活动的工具的初步发现
开发人员确实是软件生产中最重要的资源,单个开发人员是难以替代的。知识密集型系统的开发人员工作的核心是他们的思想,现在人们对理解如何检测和建模他们的思想状态越来越感兴趣。这样的分析将使我们能够根据开发速度、错误最小化等因素来确定和模拟开发的最佳情况,并且在可能的范围内,在组织工作、过程、工具等时重新创建或接近这样的情况。进行这种分析的问题在于,最精密的模拟大脑活动的设备,比如功能磁共振成像(fMRI),非常昂贵,而且不能移动。然而,一种名为MNE的工具已经被开发出来,它能够利用脑电图来重建精确的近似,这些数据来自一个精确的可穿戴设备,而这些数据来自于功能磁共振成像。这是该领域研究的主要推动者,本文详细介绍了为什么选择它以及如何使用它。本文通过概念验证,证明了EEG尤其在MNE工具的帮助下,适用于检索大脑的功能状态信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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