Calculating the effort required to complete a task has always been somewhat difficult, as it depends on each person and becomes very subjective. For this reason, different methodologies were developed to try to standardize these procedures. This article addresses some of the problems that arise when applying NASA-Task Load Index (NASA-TLX), a methodology to calculate the mental workload of tasks performed in industrial environments. In addition, an improvement of this methodology is proposed to adapt it to the new times and to emerging Extended Reality (XR) technologies. Finally, a system is proposed for automatic collection of user performance metrics, providing an autonomous method that collects this information and does not depend on the users' willingness to fill in a feedback questionnaire.

翻译：计算完成任务所需付出的努力一直存在一定难度，因为这取决于个体且具有很强的主观性。为此，学界开发了多种方法论以尝试标准化此类评估流程。本文探讨了在应用NASA任务负荷指数（NASA-TLX）——一种用于评估工业环境中任务执行心理负荷的方法论——时所出现的若干问题。此外，本文提出对该方法论的改进方案，使其适应新时代需求及新兴的扩展现实（XR）技术。最后，我们设计了一套用户绩效指标的自动化采集系统，提供了一种自主收集此类信息的方法，从而无需依赖用户填写反馈问卷的意愿。