IEEE Trans Neural Syst Rehabil Eng. 2018 Apr;26(4):911-922. doi: 10.1109/TNSRE.2018.2814826.
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.
虚拟键盘应用程序和替代通信设备为帮助残疾人提供了新的沟通手段。迄今为止，基于脚本特定信息的虚拟键盘优化方案以及多模态输入访问功能仍然有限。在本文中，我们提出了一种新的方法，通过考虑字母频率和命令选择时间的组合，来优化基于注视的树状菜单选择系统中显示项的位置。该优化的图形用户界面布局是基于菜单设计的，其中 10 个命令提供了 88 种不同字符的输入方式，以及其他文本编辑命令。该系统可以在两种不同模式下进行控制：仅眼动跟踪和眼动跟踪与辅助软开关。提出并评估了五种不同的键盘布局，有 10 位健康参与者参与。此外，还对 10 位中风患者进行了仅眼动跟踪的两个性能最佳的键盘布局评估。整体性能分析表明，基于字母频率和时间的组织以及脚本特定安排设计的方案具有显著优越的打字性能、高可用性（87% SUS 得分）和低工作负荷（NASA TLX 得分为 17）。本文代表了第一个优化的基于注视的印地语虚拟键盘，可以扩展到其他语言。
