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Structured software usability evaluation: An experiment in evaluation design.

机译:结构化软件可用性评估:评估设计中的一项实验。

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摘要

This research compared the effectiveness of a detailed usability evaluation method and instrument to a traditional overview method. Usability is a distinctive term that includes, for example, ease of use, learnability, supportability of multi-level users, error prevention, feedback, and recovery. Evaluating a product against a set of usability criteria is a technique known in the usability field as a "heuristic evaluation," during which a usability professional can identify problems before they reach the end user. Heuristic evaluations performed early in a product lifecycle can promote fixes in preproduction phases, rather than more costly testing and implementation phases. In the study, 63 usability professionals performed heuristic evaluations in a 2 x 2 research design to determine the relative effectiveness in revealing usability problems of using traditional versus experimental contemporary heuristics, each paired with an unstructured all-at-once evaluation method, or an experimental structured method. In the latter method, the evaluators were required to use limited sets of heuristics during a given session, with breaks between sessions. The work is an extension of research by Masaaki Kurosu, who developed the Structured Heuristic Evaluation Method (sHEM) for use in Japan, and tested it in a single-factor design. In this present study the heuristic set and evaluation method variables were separated into a two-factor design; Kurosu's main effect of the contemporary/structured interaction was not replicated. Participants using traditional general heuristics found more usability problems than those using contemporary detailed heuristics. The study's strongest finding was that the structured approached rendered the participants more effective at identifying usability problems, even when individual participants found the approach "disconcerting" or "distracting." Results are congruent with the psychological phenomenon of retroactive interference: by interrupting the evaluation at intervals, participants were able to "forget" previous sections, freeing up working memory to find more usability problems in subsequent sections. Implications of the practical applications of these results to the usability field are discussed.
机译:这项研究将详细的可用性评估方法和工具的有效性与传统的概述方法进行了比较。可用性是一个独特的术语,包括例如易用性,易学性,多级用户的支持性,错误预防,反馈和恢复。根据一组可用性标准评估产品是一种在可用性领域中称为“启发式评估”的技术,在此过程中,可用性专业人员可以在问题到达最终用户之前识别出问题。在产品生命周期的早期进行的启发式评估可以促进在生产前阶段进行修复,而不是进行成本更高的测试和实施阶段。在这项研究中,有63位可用性专家在2 x 2的研究设计中进行了启发式评估,以确定使用传统的与实验的当代启发式方法揭示可用性问题的相对有效性,每一种方法均与非结构化的一次性评估方法或实验方法相结合。结构化方法。在后一种方法中,要求评估人员在给定会话中使用有限的启发式方法集,并在会话之间进行休息。这项工作是对Masaaki Kurosu的研究的扩展,他开发了在日本使用的结构化启发式评估方法(sHEM),并在单因素设计中对其进行了测试。在本研究中,启发式集和评估方法变量被分为两因素设计。 Kurosu对当代/结构化互动的主要影响没有被复制。与传统的现代启发式方法相比,使用传统的一般启发式方法的参与者发现了更多的可用性问题。该研究最强的发现是,即使个体参与者发现这种方法“令人不安”或“分散注意力”,结构化方法也使参与者更有效地识别可用性问题。结果与追溯干扰的心理现象是一致的:通过不时中断评估,参与者可以“忘记”先前的部分,从而释放工作记忆,以便在随后的部分中发现更多的可用性问题。讨论了这些结果在可用性领域中的实际应用。

著录项

  • 作者

    Faulkner, Laura Lynn.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Psychology Industrial.; Information Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 192 p.
  • 总页数 192
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 工业心理学;信息与知识传播;
  • 关键词

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