Abstract
Virtual keyboard applications and alternative communication devices provide new means of communication to assist disabled people. To date, virtual keyboard optimization schemes based on script-specific information,along with multimodal input access facility, are limited.In this paper, we propose a novel method for optimizing the position of the displayed items for gaze-controlled tree based menu selection systems by considering a combination of letter frequency and command selection time.The optimized graphical user interface layout has been designed for a Hindi language virtual keyboard based on a menu wherein 10 commands provide access to type 88 different characters, along with additional text editing commands. The system can be controlled in two different modes: eye-tracking alone and eye-tracking with an access soft-switch. Five different keyboard layouts have been presented and evaluated with ten healthy participants. Furthermore, the two best performing keyboard layouts have been evaluated with eye-tracking alone on ten stroke patients.The overall performance analysis demonstrated significantly superior typing performance,high usability (87% SUS score), and low workload (NASA TLX with 17 scores) for the letter frequency and time-based organization with script specific arrangement design. This paper represents the first optimized gaze-controlled Hindi virtual keyboard, which can be extended to other languages.
Original language | English |
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Pages (from-to) | 911-922 |
Number of pages | 12 |
Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Volume | 26 |
Issue number | 4 |
Early online date | 12 Mar 2018 |
DOIs | |
Publication status | Published online - 12 Mar 2018 |
Keywords
- Gaze tracking
- human computer interaction
- graphical user interfaces
- optimization methods
- performance evaluation.
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Kongfatt Wong-Lin
- School of Computing, Eng & Intel. Sys - Professor
- Faculty Of Computing, Eng. & Built Env. - Full Professor
Person: Academic