从内隐统计学习的角度重新审视菜单设计

Emmanouil Giannisakis, Evanthia Dimara, A. Goujon, Gilles Bailly
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引用次数: 1

摘要

内隐统计学习(ISL)研究如何让个体接触重复的统计模式,从而在缺乏意识的情况下帮助发展技能,比如学习语言或识别熟悉的形状。本文在菜单设计易学性的背景下对ISL进行了研究。我们对从80年代至今的各种应用程序中的菜单模式进行了分析,揭示了一个一致的线性模式:命令名称在左侧,键盘快捷方式提示在右侧。然后,我们通过操纵ISL理论的两个因素,即命令和快捷提示之间的空间接近(距离)和相对定位,开发了菜单模式的设计空间。我们通过两个对照实验,实证比较了该设计空间的四种菜单模式是否能够提高键盘快捷键的使用率。结果并没有捕捉到菜单模式之间的明确影响,这表明在HCI背景下的ISL可能涉及比最初预期更复杂的因素,例如用户暴露于菜单模式的时间。我们反思了将认知科学理论应用于HCI的挑战,并希望我们系统的方法和实验设计将成为鼓励该领域更多研究的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revisiting Menu Design Through the Lens of Implicit Statistical Learning
Implicit Statistical Learning (ISL) studies how exposing individuals to repeated statistical patterns can help develop skills in the absence of conscious awareness, such as learning a language or detecting familiar shapes. This paper transposes ISL in the context of menu design learnability. Our analysis of menu patterns in various applications from the 80s to today reveals a consistent linear pattern with command names on the left and keyboard shortcut cues aligned on the right. We then develop a design space of menu patterns by manipulating two factors of ISL theory, spatial proximity (distance) and relative positioning between commands and shortcut cues. We empirically compare four menu patterns of this design space on whether they can improve keyboard shortcut adoption through two controlled experiments. Results did not capture clear effects among the menu patterns, suggesting that ISL in the context of HCI might involve more complex factors than initially anticipated, such as the time the users are exposed to the menu pattern. We reflect on the challenges in applying theories from cognitive science to HCI and hope that our systematic methodology and experiment designs will serve as a basis for encouraging more studies in the area.
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