University of Salerno, Fisciano, Italy.
Deloitte Italy, Milano, Italy.
Work. 2021;68(s1):S47-S57. doi: 10.3233/WOR-208005.
In recent years, a growing interest in ergonomics and comfort perception in secondary schools and universities can be detected, to go beyond the UNI-EN regulations and understanding how practically improve students' perceived comfort during lessons.
This study aimed to analyse the (dis)comfort perceived by students while sitting in a combo-desk during lessons; it proposed a method for understanding and weighing the influence of postural factors on overall (dis)comfort.
Twenty healthy students performed a random combination of three different tasks in two sessions - listening, reading on a tablet and writing. Subjective perceptions were investigated through questionnaires, in which the expected and the overall comfort were evaluated; postural angles were gathered by processing photos through Kinovea® software and were used for the virtual-postural analysis, using a DHM (Digital Human Modelling) software; statistical analysis was used to investigate the influence of subjective comfort of each body part on the overall perceived comfort.
The statistical correlations were used to perform an optimization problem in order to create a general law to formulate the overall comfort function, for each task, as a weighted sum of the comfort perceived in each body part. The test procedure, additionally, evaluated the influence on comfort over time. The results showed how the upper back and the task-related upper limb are the most influencing factors in the overall comfort perception.
The paper revealed a precise and straightforward analysis method that can be easily repeated for other design applications. Obtained results can suggest to designers easy solution to re-design the combo-desk.
近年来,人们对中学和大学的人体工程学和舒适度感知越来越感兴趣,希望超越 UNI-EN 法规的要求,并了解如何实际提高学生在上课时的舒适度感知。
本研究旨在分析学生在组合式课桌椅上上课时的(不)舒适感;提出一种理解和权衡姿势因素对整体(不)舒适度影响的方法。
20 名健康学生在两次会议中随机组合进行三种不同任务 - 听、在平板电脑上阅读和书写。通过问卷调查研究主观感知,评估预期舒适度和整体舒适度;通过 Kinovea®软件处理照片收集姿势角度,并使用 DHM(数字人体建模)软件进行虚拟姿势分析;使用统计分析研究每个身体部位的主观舒适度对整体感知舒适度的影响。
统计相关性用于执行优化问题,以便为每个任务创建一个总体舒适度函数,作为每个身体部位舒适度感知的加权和。测试过程还评估了随时间推移的舒适度影响。结果表明,上背部和与任务相关的上肢是整体舒适度感知的最主要影响因素。
本文揭示了一种精确而直接的分析方法,可轻松用于其他设计应用。所得结果可以为设计师提供易于实施的解决方案,重新设计组合式课桌椅。