引导式评估方法:一种更简便的方法,可根据经验估算训练有素的用户在使用不熟悉的键盘布局时的表现

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS International Journal of Human-Computer Studies Pub Date : 2024-06-13 DOI:10.1016/j.ijhcs.2024.103317
Aunnoy K Mutasim , Anil Ufuk Batmaz , Moaaz Hudhud Mughrabi , Wolfgang Stuerzlinger
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引用次数: 0

摘要

要在用户研究中确定所建议的键盘布局(如 OPTI)是否能在性能上超越 QWERTY,通过纵向研究进行扩展培训至关重要。然而,如何培养训练有素的用户是一个后勤瓶颈。一种常见的替代方法是让参与者重复键入相同的单词或短语。我们分别进行了两项研究来探讨这种替代方法。研究结果表明,重复键入单词或短语这两种方法在准确估计训练有素的用户性能方面都存在局限性。因此,我们提出了 "引导评估法"(GEM),这是一种通过新手快速估算受训用户性能的新方法。我们的结果表明,在短短几分钟内,参与者就表现出了与现有纵向研究类似的性能--OPTI 优于 QWERTY。由于无需进行资源密集型的纵向研究,我们的新 GEM 能够更快地估算受训用户的性能。这一成果有可能重新激发对更好的文本输入方法的研究。
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The Guided Evaluation Method: An easier way to empirically estimate trained user performance for unfamiliar keyboard layouts

To determine in a user study whether proposed keyboard layouts, such as OPTI, can surpass QWERTY in performance, extended training through longitudinal studies is crucial. However, addressing the challenge of creating trained users presents a logistical bottleneck. A common alternative involves having participants type the same word or phrase repeatedly. We conducted two separate studies to investigate this alternative. The findings reveal that both approaches, repeatedly typing words or phrases, have limitations in accurately estimating trained user performance. Thus, we propose the Guided Evaluation Method (GEM), a novel approach to quickly estimate trained user performance with novices. Our results reveal that in a matter of minutes, participants exhibited performance similar to an existing longitudinal study — OPTI outperforms QWERTY. As it eliminates the need for resource-intensive longitudinal studies, our new GEM thus enables much faster estimation of trained user performance. This outcome will potentially reignite research on better text entry methods.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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