Weibull Distribution: User Performance Analyses for Telerobotics System Interface

Q1 Mathematics
Ida Bagus Kerthyayana Manuaba
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引用次数: 1

Abstract

When aiming to improve interfaces for remote devices, methods are required for assessing them and comparing the effect of changes. Distributions provide a means of summarizing data and a model that produces a particular distribution is known, so that if the data is found to match a known distribution a useful model is available for interpreting the data. This paper presents the analysis using the Weibull distribution to evaluate the user performance of the prototype telerobotics user interface. This prototype was deployed for public testing at an exhibition in the CSIRO Discovery Centre, Canberra, Australia, over three months. An investigation of operator requests to three models of telerobotics control from a total of 6139 total user sessions was found to fit Weibull distributions. All of the devices offered operators the opportunity to manipulate wooden blocks through the application with three model controls. Usage patterns were quite different on the different control models, but operator behavior could be characterized by the two parameters of the Weibull distribution. One of the parameters, the shape parameter, was found to be nearly invariant so the comparison could be reduced to the scale parameter. This meant interfaces can be compared with a single value calculated from automatically captured data during use of the interface.
威布尔分布:远程机器人系统接口的用户性能分析
当目标是改进远程设备的接口时,需要有方法来评估它们并比较更改的效果。分布提供了一种汇总数据的方法,并且产生特定分布的模型是已知的,因此,如果发现数据与已知分布相匹配,则可以使用有用的模型来解释数据。本文提出了用威布尔分布对原型机器人用户界面的用户性能进行评价的方法。这架原型机在澳大利亚堪培拉CSIRO探索中心的一个展览会上进行了为期三个月的公开测试。从总共6139个总用户会话中,对操作员对三种远程机器人控制模型的请求进行了调查,发现它们符合威布尔分布。所有设备都为操作人员提供了通过三个模型控件的应用程序操作木块的机会。在不同的控制模型上,使用模式有很大的不同,但操作员的行为可以用威布尔分布的两个参数来表征。其中一个参数,形状参数,被发现是几乎不变的,所以比较可以减少到尺度参数。这意味着可以将接口与使用接口期间从自动捕获的数据中计算出的单个值进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Review of Automatic Control
International Review of Automatic Control Engineering-Control and Systems Engineering
CiteScore
2.70
自引率
0.00%
发文量
17
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