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Lextant Usability Impact Score: A New, Objective Approach to Indexing Usability Issues

机译:Lextant可用性影响分数:索引可用性问题的新的,客观方法

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An important step in evaluating system usability involves identifying and prioritizing usability issues to help guide future development. Many methods exist for this purpose, yet there is no consensus on which method is most applicable in a consulting environment. Traditionally, subjective scoring methods are used. These methods require subjective judgment from evaluators, which can result in low inter-rater reliability. Additionally, various domains use different subjective scoring methods, making it difficult to compare results across studies. The Lextant Usability Impact System (LUIS) was created to objectively prioritize usability issues and to be applicable across domains and comparable across studies. To increase reliability, LUIS objectively measures frequency, subjective probability, and severity separately prior to combining into an overall impact score. The results suggest that LUIS provides scores of higher granularity than traditional subjective scores and can be calculated by a single rater.
机译:评估系统可用性的一个重要步骤涉及识别和优先确定可用性问题,以帮助指导未来的发展。为此目的存在许多方法,但在咨询环境中没有任何达成的方法。传统上,使用主观评分方法。这些方法需要评估员的主观判断,这可能导致帧间间可靠性低。此外,各个域使用不同的主观评分方法,使得跨研究难以比较结果。创建了Lextant可用性影响系统(LUIS)以客观地优先考虑可用性问题,并适用于域名并跨研究可比。为了提高可靠性,Luis客观地测量频率,主观概率和严重程度,在结合整体影响分数之前分别。结果表明,LUIS提供比传统主观评分更高的粒度,并且可以通过单一评估者计算。

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