预测性,可访问的web自动化:一项纵向研究

Yury Puzis, Y. Borodin, I. Ramakrishnan
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引用次数: 0

摘要

高效、可用的非视觉网络访问问题仍然没有得到充分解决,尽管它对大量现有和潜在的视觉受损的网络用户至关重要。Web自动化是一种代表用户自动进行浏览操作的过程,它有可能显著提高非视觉网页浏览的可用性和可访问性。自动化助手是一个可访问的web自动化系统,专门为此目的而设计。然而,到目前为止,自动化助手只在一个短期的控制实验中进行了评估。在本文中,我们报告了一项纵向研究的初步结果,该研究旨在探索自动化助手所采用的可访问web自动化方法的长期实用性。该研究只涉及一名参与者,可被视为未来一项涉及大量参与者的实验的试点,并从试点期间吸取的经验教训中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive, accessible web automation: a longitudinal study
The problem of efficient, usable non-visual web access remains inadequately solved, despite its critical importance to a significant number of visually-impaired existing and potential Web users. Web automation, a process of automating browsing actions on behalf of the user, has the potential to significantly improve the usability and accessibility of non-visual web browsing. Automation Assistant is an accessible web automation system designed specifically for this purpose. Until now, however, Automation Assistant was only evaluated in a short-term, controlled experiment. In this paper we report preliminary results on a longitudinal study designed to explore the long term practicality of the approach to accessible web automation taken by Automation Assistant. The study involves a single participant and can be considered a pilot of a future experiment involving a large number of participants and benefiting from the lessons learned during the pilot.
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