Bi Lab

State University New York Stony Brook

NONE

Stony Brook · United States

NIH-funded
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NIH R01 · 2024

Intelligent Text Input and Editing Methods on Smartphones for Blind Users

Inputting and editing text on smartphones play an important role in people’s daily lives. Studies have shown that they constitute 40% of one’s smartphone usage. For blind smartphone users, text input and text editing tasks remain a challenge with studies showing that their typing speed is only 4-5 Words Per Minute (WPM) on soft keyboards compared to 36 WPM of sighted users. While the use of voicing text input is becoming prevalent among blind users, studies have shown that they spend 80% of their time on the average editing spoken text, which is a slow, laborious process. This lack of efficient and convenient text input and editing methods can make it difficult for blind users to use their…

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