TY - JOUR
T1 - Toward Optimization of Gaze-Controlled Human–Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients
AU - Meena, Yogesh Kumar
AU - Cecotti, Hubert
AU - Wong-Lin, KongFatt
AU - Dutta, Ashish
AU - Prasad, Girijesh
PY - 2018/3/12
Y1 - 2018/3/12
N2 - 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.
AB - 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.
KW - Gaze tracking
KW - human computer interaction
KW - graphical user interfaces
KW - optimization methods
KW - performance evaluation.
UR - https://pure.ulster.ac.uk/en/publications/toward-optimization-of-gaze-controlled-humancomputer-interaction-
U2 - 10.1109/TNSRE.2018.2814826
DO - 10.1109/TNSRE.2018.2814826
M3 - Article
C2 - 29641396
SN - 1534-4320
VL - 26
SP - 911
EP - 922
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
IS - 4
ER -