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arXiv · 2503.02133

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

Damien Masson·Zhe Liu·Charles Xu
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Abstract

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.

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Damien Masson, Zhe Liu, Charles Xu. 2025-03-03. DuSK: Faster Indirect Text Entry Supporting Out-Of-Vocabulary Words for Touchpads. https://arxiv.org/abs/2503.02133

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