A usability scale for handheld augmented reality

M. Santos, Takafumi Taketomi, C. Sandor, Jarkko Polvi, Goshiro Yamamoto, H. Kato
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引用次数: 62

Abstract

Handheld augmented reality (HAR) applications must be carefully designed and improved based on user feedback to sustain commercial use. However, no standard questionnaire considers perceptual and ergonomic issues found in HAR. We address this issue by creating a HAR Usability Scale (HARUS). To create HARUS, we performed a systematic literature review to enumerate user-reported issues in HAR applications. Based on these issues, we created a questionnaire measuring manipulability -- the ease of handling the HAR system, and comprehensibility -- the ease of understanding the information presented by HAR. We then provide evidences of validity and reliability of the HARUS questionnaire by applying it to three experiments. The results show that HARUS consistently correlates with other subjective and objective measures of usability, thereby supporting its concurrent validity. Moreover, HARUS obtained a good Cronbach's alpha in all three experiments, thereby demonstrating internally consistency. HARUS, as well as its decomposition into individual manipulability and comprehensibility scores, are evaluation tools that researchers and professionals can use to analyze their HAR applications. By providing such a tool, they can gain quality feedback from users to improve their HAR applications towards commercial success.
手持增强现实的可用性量表
手持增强现实(HAR)应用程序必须根据用户反馈仔细设计和改进,以维持商业用途。然而,没有标准问卷考虑在HAR中发现的感知和人体工程学问题。我们通过创建HAR可用性量表(HARUS)来解决这个问题。为了创建HARUS,我们进行了系统的文献综述,以列举HAR应用程序中用户报告的问题。基于这些问题,我们创建了一个测量可操纵性(处理HAR系统的难易程度)和可理解性(理解HAR提供的信息的难易程度)的问卷。然后,我们将HARUS问卷应用于三个实验,以证明其效度和信度。结果表明,HARUS与其他主观和客观可用性度量一致,从而支持其并发效度。此外,HARUS在所有三个实验中都获得了良好的Cronbach's alpha,从而证明了内部一致性。HARUS及其分解为个人可操作性和可理解性分数,是研究人员和专业人员可以用来分析其HAR应用程序的评估工具。通过提供这样一个工具,他们可以从用户那里获得高质量的反馈,以改进他们的HAR应用程序,使其走向商业成功。
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