Measuring Mental Workload of Software Developers Based on Nasal Skin Temperature
Keitaro Nakasai, Shin Komeda, Masateru Tsunoda, Masayuki Kashima · IEICE Transactions on Information and Systems · 2024
To automatically measure the mental workload of developers, 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-contact biometric measures based on the nasal skin temperature (NST). In the experiment, the proposed biometric measures were more accurate than non-biometric measures.