Peres S Camille, Kortum Philip T, Akladios Magdy, Muddimer Andrew
Texas A&M University, College Station, TX, USA.
Rice University, Houston, TX, USA.
Work. 2015;53(1):193-204. doi: 10.3233/WOR-152142.
There are many effective methods for decreasing the likelihood of repetitive strain injury (RSI) for those who work at a computer in an office environment. This study is focused on the highly repetitive task of interpreting seismic data. The skilled geoscientists who perform this work are very well compensated, and their work is vital to the success of the oil company. However, RSIs are still occurring in situations where effective methods of mitigating injuries have been successfully implemented and this has been occurring very frequently for geoscientists. This suggests that there are other elements contributing to the development of these injuries and one element could be the software interaction design. However, it is difficult for software designers to determine this because most measures associated with muscle activity require expensive data collection methods.
This paper describes research conducted to determine if survey-based subjective measures might be used to assess the potential for RSI for software programs.
In laboratory and field settings, data were collected using three different survey instruments (NASA-Task Load Index, Latko's Busiest Hand Activity Level Scale, and the Borg CR10 Rating of Perceived Exertion Scale) and conventional measures of muscle activity (sEMG). Correlations between the surveys and muscle activity were then calculated.
For both the laboratory and the field, people were able to provide reliable self-report information related to their muscle activity. However, the effect sizes were not large.
These results suggest that self-report tools could be utilized to identify software interaction designs related associated with risks of RSI.
对于在办公室环境中使用电脑工作的人来说，有许多有效的方法可以降低重复性劳损（RSI）的发生可能性。本研究聚焦于解释地震数据这一高度重复性任务。从事这项工作的熟练地球科学家薪酬丰厚，且他们的工作对石油公司的成功至关重要。然而，在已经成功实施有效伤害缓解方法的情况下，RSI 仍在发生，而且地球科学家频繁出现这种情况。这表明还有其他因素导致这些损伤的发生，其中一个因素可能是软件交互设计。然而，软件设计师很难确定这一点，因为大多数与肌肉活动相关的测量需要昂贵的数据收集方法。
本文描述了为确定基于调查的主观测量方法是否可用于评估软件程序导致 RSI 的可能性而开展的研究。
在实验室和现场环境中，使用三种不同的调查工具（NASA 任务负荷指数、拉特科最忙碌手部活动水平量表和博格 CR10 自觉用力程度量表）以及传统的肌肉活动测量方法（表面肌电图）收集数据。然后计算调查结果与肌肉活动之间的相关性。
无论是在实验室还是现场，人们都能够提供与其肌肉活动相关的可靠自我报告信息。然而，效应量不大。
这些结果表明，自我报告工具可用于识别与 RSI 风险相关的软件交互设计。
