WEBA_dataset

The WEBA dataset is generated to reflect the effect of work content on perceived workload, acute stress, emotion, and performance of workers in real-life working conditions. By in-depth analysis of the work characteristics from a multi-disciplinary approach, and utilizing a specific condition of a coffeeshop 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 in the position of baristas, and become the main stressors that impose their effect on the participants, with each factor having a different impact on the workload perception, thus creating different stress and mental status during a work shift. The WEBA dataset contributes to further developing an understanding of the work content effect on labor performance and well-being.