WEBA dataset

The WEBA dataset is generated to reflect the effect of work content on perceived workload, acute stress, emotion, and performance of baristas in real-life working conditions. By in-depth analysis of the work characteristics from a multi-disciplinary approach, and utilizing a specific condition with event-driven sensors and wearable technology, a controlled environment is created in the closest way to a laboratory experiment. The work-content factors are emphasized and become the main stressors that impose their effect on the participants, with each factor places a different impact on the workload perception, thus creates different stress and mental status during a work shift. The WEBA dataset contributes to the further development of understanding the work content effect on labor performance and well-being.