视觉障碍人士语音驱动网页浏览界面的Wizard-of-Oz评估

V. Ashok, Y. Borodin, Svetlana Stoyanchev, Yury Puzis, I. Ramakrishnan
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引用次数: 22

摘要

有视觉障碍的人通常使用屏幕阅读器与Web交互,屏幕阅读器对内容进行连续的文本到语音的叙述。尽管他们依靠键盘快捷键来快速浏览内容,但由于过多的键盘敲击和点击而导致的浏览疲劳,由于必须记住许多快捷键而导致的认知负荷增加,以及由于必须收听无关内容而导致的信息过载,这些都太常见了。基于语音的交互模式有可能解决这些缺点,它允许用户与能够将用户命令/请求转换为系统操作并生成适当响应的智能代理进行对话。本文介绍了一项针对24名盲人进行的《绿野仙踪》用户研究的实证结果,为衡量非视觉网络访问的语音界面的可用性和有效性提供了一个基线。具体来说,研究参与者被要求使用不受限制的语音命令完成一组典型的网络浏览任务,从简单的命令(如“点击搜索按钮”)到复杂的命令(如“购买此产品”)。参与者不知道,这些命令由向导执行,并在屏幕阅读器的帮助下生成适当的响应。这项研究的一个重要副产品是为非视觉网页访问提供了一个新的对话语料库,它将为探索开发高性能网页可访问对话系统的设计空间提供关键的参考数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wizard-of-Oz evaluation of speech-driven web browsing interface for people with vision impairments
People with visual impairments typically interact with the Web using screen readers that perform serial text-to-speech narration of the content. Although they rely on keyboard shortcuts to navigate through the content quickly, browsing fatigue caused by too many keyboard presses and clicks, increased cognitive load caused by having to remember many shortcuts, and information overload from having to listen to irrelevant content, are all too common. Speech-based interaction modality has the potential to address these shortcomings by allowing users to engage in a dialog with an intelligent agent capable of translating user commands/requests to system actions and generating appropriate responses to them. This paper presents empirical findings of a Wizard-of-Oz user study conducted with 24 blind subjects to provide a baseline for gauging the usability and effectiveness of speech interfaces for non-visual web access. Specifically, study participants were required to complete a set of typical web browsing tasks using unrestricted speech commands ranging from simple commands such as "click the search button", to complex commands such as "buy this product". Unknown to the participants, these commands were executed by the wizard and appropriate responses were generated with the help of a screen reader. An important byproduct emerging from the study is a new dialog corpus for non-visual web access that will provide pivotal reference data for exploring the design space underlying the development of high performance dialog systems for web accessibility.
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