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通过交互方式提高移动光学字符识别应用的可访问性

Improving the Accessibility of Mobile OCR Apps Via Interactive Modalities.

作者信息

Cutter Michael, Manduchi Roberto

机构信息

University of California, Santa Cruz.

出版信息

ACM Trans Access Comput. 2017 Oct;10(4). doi: 10.1145/3075300.

Abstract

Mobile optical character recognition (OCR) apps have come of age. Many blind individuals use them on a daily basis. The usability of such tools, however, is limited by the requirement that a good picture of the text to be read must be taken, something that is difficult to do without sight. Some mobile OCR apps already implement auto-shot and guidance mechanisms to facilitate this task. In this paper, we describe two experiments with blind participants, who tested these two interactive mechanisms on a customized iPhone implementation. These experiments bring to light a number of interesting aspects of accessing a printed document without sight, and enable a comparative analysis of the available interaction modalities.

摘要

移动光学字符识别(OCR)应用程序已经成熟。许多盲人每天都在使用它们。然而,此类工具的可用性受到一定要求的限制,即必须拍摄待读取文本的清晰图片,而这对于没有视力的人来说很难做到。一些移动OCR应用程序已经实现了自动拍摄和引导机制来辅助这项任务。在本文中,我们描述了针对盲人参与者的两项实验,他们在定制的iPhone应用上测试了这两种交互机制。这些实验揭示了许多在无视力情况下访问印刷文档的有趣方面,并能够对可用的交互方式进行比较分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d94/5736157/143f8b15abda/nihms904001f1.jpg

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