Tran Tuan-Anh, Eigner György, Abonyi János, Ruppert Tamás
Department of System Engineering, University of Pannonia, H-8200, Veszprem, Hungary.
HUN-REN-PE Complex Systems Monitoring Research Group, University of Pannonia, H-8200, Veszprem, Hungary.
Sci Data. 2025 Jan 3;12(1):11. doi: 10.1038/s41597-024-04348-z.
The effect of work content on workload, stress, and performance was not well addressed in the literature, due to the lack of comprehensive conceptualization, problem definition, and relevant dataset. The gap between laboratory-simulated studies and real-life working conditions delays the generalization, hindering the development of performance management and monitoring tools. Contributing to this topic, a data collection effort is organized, which considers unique work conditions and work content factors of a coffee shop, to conceptualize scenarios that better highlight their effect on human performance, thus creating the Work content Effect on BAristas (WEBA) dataset. Utilizing sensor technologies to recognize the ongoing activities, physical work activities and heart rates of five baristas in 55 shifts with different work content combinations during real-life working processes were recorded, while the integration of subjective and objective measures of workload and emotions were deployed as perceived workload indicators. Heart rate signals during normal conditions without working were measured as the baseline. This dataset is unique in its conceptualization and useful for scrutinizing more nuances of the effect of work content on performance and the well-being of employees, as well as facilitating better human factor engineering, workplace and work task design.
由于缺乏全面的概念化、问题定义和相关数据集，工作内容对工作量、压力和绩效的影响在文献中并未得到充分探讨。实验室模拟研究与实际工作条件之间的差距延缓了研究成果的推广，阻碍了绩效管理和监测工具的发展。为推动这一主题的研究，我们组织了一次数据收集工作，该工作考虑了咖啡店独特的工作条件和工作内容因素，以概念化那些能更好地突出其对人类绩效影响的场景，从而创建了咖啡师工作内容效应（WEBA）数据集。在实际工作过程中，利用传感器技术识别正在进行的活动，记录了五名咖啡师在55个班次中不同工作内容组合下的体力工作活动和心率，同时采用主观和客观的工作量及情绪测量方法作为感知工作量指标。测量了非工作状态下的心率信号作为基线。该数据集在概念化方面独具特色，有助于深入研究工作内容对绩效和员工福祉影响的更多细微差别，以及促进更好的人因工程、工作场所和工作任务设计。
