为盲人用户重新设计视觉输入模式:文字处理器案例研究

Hae-Na Lee, Vikas Ashok, I V Ramakrishnan
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引用次数: 0

摘要

鼠标和触摸板等视觉 "点击式 "交互工具是有形的输入模式,对于视力正常的用户方便地与计算机应用软件进行交互至关重要。相比之下,盲人用户无法利用这些视觉输入模式,因此在使用与键盘相结合的顺序叙述式读屏辅助技术与计算机进行交互时受到限制。因此,盲人用户通常需要花费更多的时间和精力,才能完成即使是简单的应用任务(例如在文字处理器中为文本添加样式),而他们的视力正常的同龄人使用鼠标点击即可轻松完成相同的任务。本文探讨了将视觉输入模式重新用于非视觉交互的想法,以便盲人用户也能从这些模式中获得简单高效的访问优势。具体来说,我们以文字处理应用程序为代表性案例研究,设计并开发了 NVMouse,作为这种重新利用想法的具体体现。在 NVMouse 中,空间分布的文字处理程序控件被映射到一个虚拟的分层 "功能菜单 "中,用户可以使用简单的滚动和单击输入操作,方便地在非视觉环境下浏览该菜单。此外,NVMouse 还利用数据驱动的预测模型,根据当前 "本地 "屏幕阅读器在文档中的上下文,确定用户下一步最有可能访问的命令,从而提高了访问常用应用程序命令的效率。一项由 14 名盲人参加的用户研究比较了基于键盘的屏幕阅读器和 NVMouse,结果表明后者大大减少了不同文字处理活动的任务完成时间和用户工作量(即用户操作次数)。
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Repurposing Visual Input Modalities for Blind Users: A Case Study of Word Processors.

Visual 'point-and-click' interaction artifacts such as mouse and touchpad are tangible input modalities, which are essential for sighted users to conveniently interact with computer applications. In contrast, blind users are unable to leverage these visual input modalities and are thus limited while interacting with computers using a sequentially narrating screen-reader assistive technology that is coupled to keyboards. As a consequence, blind users generally require significantly more time and effort to do even simple application tasks (e.g., applying a style to text in a word processor) using only keyboard, compared to their sighted peers who can effortlessly accomplish the same tasks using a point-and-click mouse. This paper explores the idea of repurposing visual input modalities for non-visual interaction so that blind users too can draw the benefits of simple and efficient access from these modalities. Specifically, with word processing applications as the representative case study, we designed and developed NVMouse as a concrete manifestation of this repurposing idea, in which the spatially distributed word-processor controls are mapped to a virtual hierarchical 'Feature Menu' that is easily traversable non-visually using simple scroll and click input actions. Furthermore, NVMouse enhances the efficiency of accessing frequently-used application commands by leveraging a data-driven prediction model that can determine what commands the user will most likely access next, given the current 'local' screen-reader context in the document. A user study with 14 blind participants comparing keyboard-based screen readers with NVMouse, showed that the latter significantly reduced both the task-completion times and user effort (i.e., number of user actions) for different word-processing activities.

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