Doğan, GülinAKBULUT, FATMA PATLARÇatal, Çağatay2024-05-232024-05-232024Dogan, G., Akbulut, F. P., & Catal, C. (2024). Biosignals, facial expressions, and speech as measures of workplace stress: Workstress3d dataset. Data in Brief, 54, 110303.2352-3409https://doi.org/10.1016/j.dib.2024.110303https://hdl.handle.net/11413/9178WorkStress3D is a comprehensive collection of multimodal data for the research of stress in the workplace. This dataset contains biosignals, facial expressions, and speech signals, making it an invaluable resource for stress analysis and related studies. The ecological validity of the dataset was ensured by the fact that the data were collected in actual workplace environments. The biosignal data contains measurements of electrodermal activity, blood volume pressure, and cutaneous temperature, among others. High-resolution video recordings were used to capture facial expressions, allowing for a comprehensive analysis of facial cues associated with tension. In order to capture vocal characteristics indicative of tension, speech signals were recorded. The dataset contains samples from both stress-free and stressful work situations, providing a proportionate representation of various stress levels. The dataset is accompanied by extensive metadata and annotations, which facilitate in-depth analysis and interpretation. WorkStress3D is a valuable resource for developing and evaluating stress detection models, examining the impact of work environments on stress levels, and exploring the potential of multimodal data fusion for stress analysis.eninfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Physiological SignalsFace ExpressionAudio SignalSurvey StressWearable DeviceArticle0012191983000012-s2.0-8518858346838559821