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Meaningful Prediction Parameters for Evaluating the Suitability of Power Tools for Usage

机译:用于评估电动工具使用的适用性的有意义的预测参数

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During the usage of power tools, user and power tool are interacting strongly with each other, which is why the working result depends heavily on the usability of a power tool depending on the application (Suitability of Usage (SoU)). The optimization of power tools, in terms of the user-centered design, therefore aims at an increase of the SoU. So far, the acquisition of the SoU is done within broad application tests, with several users and different application situations. Hereby, problems occur because it is often difficult to find an adequate mix of professional trained participants, which are able to evaluate the SoU objectively. To investigate the differences between professional power tool users and trained non-professional users, a study has been performed. In this study, 20 professional and 19 non-professional users tested power tools (cordless screwdrivers and impact wrenches, three different manufacturer each) and evaluated the handles of these systems according to fourteen test items, divided into an observation and a usage phase. By the use of statistical variance analysis, the captured data has been analyzed to investigate the influence on the evaluation through the usage experience of the users. Results indicates a strong influence within the evaluation categories where evaluations are done which rely on long term experiences, like the evaluation of the distributed force on the fingers. To produce further increase in efficiency and objectivity, a categorical regression by the use of Lasso models has been performed to identify the most meaningful influencing predictors for the SoU level. The investigation is carried out using the example of the evaluation of discomfort on the handle. Results indicates that the most meaningful predictor for the evaluation of the handle is the circumference of the handle at the position of the middle finger.
机译:在使用电动工具的使用过程中,用户和电动工具彼此强烈地交互,这就是为什么工作结果根据应用程序的可用性依赖于电动工具的可用性(使用的适用性(Sou))。因此,优化电动工具,以用户为中心的设计,因此旨在增加SOU。到目前为止,在广泛的应用程序测试中获取Sou,具有多个用户和不同的应用情况。因此,出现问题,因为往往很难找到足够的专业培训参与者组合,可以客观地评估sou。为了调查专业电动工具用户与培训的非专业用户之间的差异,已经进行了一项研究。在本研究中,20名专业和19名非专业用户测试的电动工具(无绳螺丝刀和冲击扳手,每次三种不同的制造商),并根据十四个测试项目评估这些系统的手柄,分为观察和使用阶段。通过使用统计方差分析,已经分析了捕获的数据来通过用户的使用经验来调查对评估的影响。结果表明评估类别中的强烈影响,依赖于长期经验的评估,例如对手指的分布力的评估。为了进一步提高效率和客观性,已经执行了使用套索模型的分类回归,以确定SOU级别的最有意义的影响预测因子。调查使用手柄上的不适评估的例子进行。结果表明,用于评估手柄的最有意义的预测器是中指位置处的手柄的圆周。

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