DuSK: Faster Indirect Text Entry Supporting Out-Of-Vocabulary Words for Touchpads

Fuente: arXiv
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Auteurs principaux: Masson, Damien, Liu, Zhe, Xu, Charles
Format: Preprint
Publié: 2025
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author Masson, Damien
Liu, Zhe
Xu, Charles
author_facet Masson, Damien
Liu, Zhe
Xu, Charles
contents Given the ubiquity of SmartTVs and head-mounted-display-based virtual environments, recent research has explored techniques to support eyes-free text entry using touchscreen devices. However, proposed techniques, leveraging lexicons, limit the user's ability to enter out-of-vocabulary words. In this paper, we investigate how to enter text while relying on unambiguous input to support out-of-vocabulary words. Through an iterative design approach, and after a careful investigation of actions that can be accurately and rapidly performed eyes-free, we devise DuSK, a {Du}al-handed, {S}troke-based, 1{K}eyboarding technique. In a controlled experiment, we show initial speeds of 10 WPM steadily increasing to 13~WPM with training. DuSK outperforms the common cursor-based text entry technique widely deployed in commercial SmartTVs (8 WPM) and is comparable to other eyes-free lexicon-based techniques, but with the added benefit of supporting out-of-vocabulary word input.
format Preprint
id arxiv_https___arxiv_org_abs_2503_02133
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle DuSK: Faster Indirect Text Entry Supporting Out-Of-Vocabulary Words for Touchpads
Masson, Damien
Liu, Zhe
Xu, Charles
Human-Computer Interaction
Given the ubiquity of SmartTVs and head-mounted-display-based virtual environments, recent research has explored techniques to support eyes-free text entry using touchscreen devices. However, proposed techniques, leveraging lexicons, limit the user's ability to enter out-of-vocabulary words. In this paper, we investigate how to enter text while relying on unambiguous input to support out-of-vocabulary words. Through an iterative design approach, and after a careful investigation of actions that can be accurately and rapidly performed eyes-free, we devise DuSK, a {Du}al-handed, {S}troke-based, 1{K}eyboarding technique. In a controlled experiment, we show initial speeds of 10 WPM steadily increasing to 13~WPM with training. DuSK outperforms the common cursor-based text entry technique widely deployed in commercial SmartTVs (8 WPM) and is comparable to other eyes-free lexicon-based techniques, but with the added benefit of supporting out-of-vocabulary word input.
title DuSK: Faster Indirect Text Entry Supporting Out-Of-Vocabulary Words for Touchpads
topic Human-Computer Interaction
url https://arxiv.org/abs/2503.02133