论文标题
部分可观测时空混沌系统的无模型预测
Measuring Cognitive Load of Software Developers Based on Nasal Skin Temperature
论文作者
论文摘要
最近，衡量开发人员的认知负担变得越来越重要。这是因为继续在高认知负荷下继续发展可能会导致人类错误。因此，为了自动测量认知负荷，现有研究使用了生物识别措施，例如脑波和心率。但是，开发人员通常需要在测量某些设备时装备某些设备，因此可以承受身体负担。在这项研究中，我们根据鼻皮肤温度评估了非侵入性生物识别测量的可行性。鼻皮肤温度已在其他领域广泛用于衡量心理状态。在本实验中，受试者创建了小的Java程序，我们使用基于鼻皮肤温度的拟议的生物识别量估算了他们的认知负荷。结果，所提出的生物识别措施比非生物测量指标更有效。因此，基于鼻皮肤温度的生物识别措施有望估计开发人员的认知负荷。
It has recently become increasingly important to measure the cognitive load of developers. This is because continuing with a development under a high cognitive load may cause human errors. Therefore, to automatically measure the cognitive load, existing studies have used biometric measures such as brain waves and the heart rate. However, developers are often required to equip certain devices when measuring them, and can therefore be physically burdened. In this study, we evaluated the feasibility of non-invasive biometric measures based on the nasal skin temperature. The nasal skin temperature has been widely used in other fields to measure mental status. In the present experiment, the subjects created small Java programs, and we estimated their cognitive load using the proposed biometric measures based on the nasal skin temperature. As a result, the proposed biometric measures were shown to be more effective than non-biometric measures. Hence, biometric measures based on nasal skin temperature are promising for estimating the cognitive load of developers.
