Towards more efficient screen reader web access with automatic summary generation and text tagging

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Abstract

Readers with 20/20 vision can easily read text and quickly perceive information to get an overview of the information within a text. This is more challenging for readers who rely on screen readers. This study investigated factors affecting successful screen reading in order to shed light on what contributes towards the improvement of screen reading access. Text extraction, summarization, and representation techniques were explored. The goal of this work leads to the development of a new summarization technique, referred to as On Demand Summary Generation and Text Tagging (ODSG&TT). This technique makes use of a summarization algorithm and a text tagging algorithm developed by Algorithmia, which enables on the fly and on-demand summarization of text and keyword generation. The focus of the screen reader is transferred to the keywords using a button control. The intention is to provide summaries with minimum user navigation effort to simplify the screen reading process.

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Sarwar, U., & Eika, E. (2020). Towards more efficient screen reader web access with automatic summary generation and text tagging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12376 LNCS, pp. 303–313). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58796-3_36

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