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The Development and Evaluation of Performance-Based Functional Assessment: A Methodology for the Measurement of Physical Capabilities

机译:基于性能的功能评估的开发和评估:一种测量身体能力的方法

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Understanding and describing the physical capabilities of users with motor impairments is a significant challenge for accessibility researchers and system designers alike. Current practice is to use descriptors such as medical diagnoses to represent a person's physical capabilities. This solution is not adequate due to similarities in functional capabilities between diagnoses as well as differences in capabilities within a diagnosis. An alternative is user self-reporting or observation by another person, but these solutions can be problematic because they rely on individual interpretations of capabilities and may introduce unwanted bias. The current research focuses on denning an objective, quantifiable, repeatable, and efficient methodology for assessing an individual's physical capabilities in relation to use of information technologies. Thirty-one users with a range of physical capabilities participated in the evaluation of the proposed performance-based functional assessment methodology. Building on the current standard for such assessments, multiple observers provided independent assessments that served as the gold standard for comparison. Promising metrics produced through the performance-based assessment were identified through comparisons with these observer evaluations. Predictive models were then generated via regression and correlation analysis. The models were validated using a three-fold validation process. Results from this initial research are encouraging, with the resulting models explaining up to 92% of the variance in user capabilities. Directions for future research are discussed.
机译:对于无障碍研究人员和系统设计人员而言,理解和描述运动障碍用户的身体能力是一项重大挑战。当前的实践是使用诸如医疗诊断之类的描述符来代表一个人的身体能力。由于诊断之间功能上的相似性以及诊断内功能上的差异,因此该解决方案并不足够。一种替代方法是用户自我报告或由其他人进行观察,但是这些解决方案可能会出现问题,因为它们依赖于对功能的单独解释,并且可能会引入不必要的偏见。当前的研究集中在确定客观,可量化,可重复和有效的方法来评估个人与信息技术使用相关的身体能力。 31名具有各种身体能力的用户参加了对基于性能的功能评估方法的评估。在此类评估的当前标准的基础上,多个观察员提供了独立的评估,作为比较的黄金标准。通过与这些观察员评估的比较,确定了通过基于绩效的评估产生的有希望的指标。然后通过回归和相关分析生成预测模型。使用三重验证过程验证了模型。最初的研究结果令人鼓舞,最终的模型可解释多达92%的用户能力差异。讨论了未来研究的方向。

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