论文标题
在编程时认识开发人员的情绪
Recognizing Developers' Emotions while Programming
论文作者
论文摘要
开发人员在编程任务期间经历了广泛的情绪，这可能会影响工作绩效。在本文中，我们提出了一项旨在（i）调查情绪与进步之间的联系的实证研究，（ii）了解开发人员情绪的触发因素以及处理负面的策略，（iii）在编程任务中确定一组最小的非侵入性生物识别传感器，以确定情绪识别的最低性。结果证实了先前关于情绪与感知生产率之间关系的发现。此外，我们表明开发人员的情绪只能使用腕带可靠地识别，该腕带可以捕获电肌活动和与心脏有关的指标。
Developers experience a wide range of emotions during programming tasks, which may have an impact on job performance. In this paper, we present an empirical study aimed at (i) investigating the link between emotion and progress, (ii) understanding the triggers for developers' emotions and the strategies to deal with negative ones, (iii) identifying the minimal set of non-invasive biometric sensors for emotion recognition during programming task. Results confirm previous findings about the relation between emotions and perceived productivity. Furthermore, we show that developers' emotions can be reliably recognized using only a wristband capturing the electrodermal activity and heart-related metrics.
