Finger Based Techniques for Nonvisual Touchscreen Text Entry

October 02, 2017 Β· Declared Dead Β· πŸ› International MultiConference of Engineers and Computer Scientists

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Authors Mohammed Fakrudeen, Sufian Yousef, Mahdi H. Miraz, AbdelRahman Hamza Hussein arXiv ID 1710.03088 Category cs.HC: Human-Computer Interaction Citations 2 Venue International MultiConference of Engineers and Computer Scientists Last Checked 4 months ago
Abstract
This research proposes Finger Based Technique (FBT) for non-visual touch screen device interaction designed for blind users. Based on the proposed technique, the blind user can access virtual keys based on finger holding positions. Three different models have been proposed. They are Single Digit Finger-Digit Input (FDI), Double Digit FDI for digital text entry, and Finger-Text Input (FTI) for normal text entry. All the proposed models were implemented with voice feedback while enabling touch as the input gesture. The models were evaluated with 7 blind participants with Samsung Galaxy S2 apparatus. The results show that Single Digit FDI is substantially faster and more accurate than Double Digit FDI and iPhone voice-over. FTI also looks promising for text entry. Our study also reveals 11 accessible regions to place widgets for quick access by blind users in flat touch screen based smartphones. Identification of these accessible regions will promote dynamic interactions for blind users and serve as a usability design framework for touch screen applications.
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