In the conventional keyboard interfaces for eye typing, the functionalities of the virtual keys are static, i.e., the user's gaze at a particular key simply translates the associated letter as the user's input. In this work, we argue the keys to be more dynamic and embed intelligent predictions to support gaze-based text entry. In this regard, we demonstrate a novel "GazeTheKey" interface where a key not only signifies the input character but also predicts the relevant words that could be selected by the user's gaze utilizing a two-step dwell time.
%0 Conference Paper
%1 conf/iui/SenguptaMKS17
%A Sengupta, Korok
%A Menges, Raphael
%A Kumar, Chandan
%A Staab, Steffen
%B IUI Companion
%D 2017
%E Papadopoulos, George A.
%E Kuflik, Tsvi
%E Chen, Fang
%E Duarte, Carlos
%E Fu, Wai-Tat
%I ACM
%K 2017-03 ckumar koroksengupta myown raphaelmenges staab
%P 121-124
%T GazeTheKey: Interactive Keys to Integrate Word Predictions for Gaze-based Text Entry.
%U https://dl.acm.org/doi/abs/10.1145/3030024.3038259
%X In the conventional keyboard interfaces for eye typing, the functionalities of the virtual keys are static, i.e., the user's gaze at a particular key simply translates the associated letter as the user's input. In this work, we argue the keys to be more dynamic and embed intelligent predictions to support gaze-based text entry. In this regard, we demonstrate a novel "GazeTheKey" interface where a key not only signifies the input character but also predicts the relevant words that could be selected by the user's gaze utilizing a two-step dwell time.
%@ 978-1-4503-4893-5
@inproceedings{conf/iui/SenguptaMKS17,
abstract = {In the conventional keyboard interfaces for eye typing, the functionalities of the virtual keys are static, i.e., the user's gaze at a particular key simply translates the associated letter as the user's input. In this work, we argue the keys to be more dynamic and embed intelligent predictions to support gaze-based text entry. In this regard, we demonstrate a novel "GazeTheKey" interface where a key not only signifies the input character but also predicts the relevant words that could be selected by the user's gaze utilizing a two-step dwell time.},
added-at = {2020-12-15T22:11:35.000+0100},
author = {Sengupta, Korok and Menges, Raphael and Kumar, Chandan and Staab, Steffen},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29381981808191332ed27eb76229da605/koroksengupta},
booktitle = {IUI Companion},
crossref = {conf/iui/2017c},
editor = {Papadopoulos, George A. and Kuflik, Tsvi and Chen, Fang and Duarte, Carlos and Fu, Wai-Tat},
ee = {http://doi.acm.org/10.1145/3030024.3038259},
interhash = {377fbb322d37c581e62d4ebaf4d3c5f9},
intrahash = {9381981808191332ed27eb76229da605},
isbn = {978-1-4503-4893-5},
keywords = {2017-03 ckumar koroksengupta myown raphaelmenges staab},
pages = {121-124},
publisher = {ACM},
timestamp = {2020-12-16T09:15:08.000+0100},
title = {GazeTheKey: Interactive Keys to Integrate Word Predictions for Gaze-based Text Entry.},
url = {https://dl.acm.org/doi/abs/10.1145/3030024.3038259},
year = 2017
}
