This paper introduces a bi-modal typing interface, HGaze Typing,
which combines the simplicity of head gestures with the speed of
gaze inputs to provide efficient and comfortable dwell-free text
entry. HGaze Typing uses gaze path information to compute candidate words and allows explicit activation of common text entry
commands, such as selection, deletion, and revision, by using head
gestures (nodding, shaking, and tilting). By adding a head-based
input channel, HGaze Typing reduces the size of the screen regions
for cancel/deletion buttons and the word candidate list, which are
required by most eye-typing interfaces. A user study finds HGaze
Typing outperforms a dwell-time-based keyboard in efficacy and
user satisfaction. The results demonstrate that the proposed method
of integrating gaze and head-movement inputs can serve as an effective interface for text entry and is robust to unintended selections.
BibTeX
@inbook{10.1145/3448017.3457379,
author = {Feng, Wenxin and Zou, Jiangnan and Kurauchi, Andrew and Morimoto, Carlos H and Betke, Margrit},
title = {HGaze Typing: Head-Gesture Assisted Gaze Typing},
year = {2021},
isbn = {9781450383448},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3448017.3457379},
abstract = { This paper introduces a bi-modal typing interface, HGaze Typing, which combines the simplicity of head gestures with the speed of gaze inputs to provide efficient and comfortable dwell-free text entry. HGaze Typing uses gaze path information to compute candidate words and allows explicit activation of common text entry commands, such as selection, deletion, and revision, by using head gestures (nodding, shaking, and tilting). By adding a head-based input channel, HGaze Typing reduces the size of the screen regions for cancel/deletion buttons and the word candidate list, which are required by most eye-typing interfaces. A user study finds HGaze Typing outperforms a dwell-time-based keyboard in efficacy and user satisfaction. The results demonstrate that the proposed method of integrating gaze and head-movement inputs can serve as an effective interface for text entry and is robust to unintended selections.},
booktitle = {ACM ETRA 2021 -- Best Paper Award},
articleno = {11},
numpages = {11}
}