2019
DOI: 10.1109/tpami.2018.2865897
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Ticker: An Adaptive Single-Switch Text Entry Method for Visually Impaired Users

Abstract: Ticker is a novel probabilistic stereophonic single-switch text entry method for visually-impaired users with motor disabilities who rely on single-switch scanning systems to communicate. Ticker models and tolerates a wide variety of noise, which is inevitably introduced in practical use of single-switch systems. Efficacy evaluation consists of performance modelling and three user studies.

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Cited by 5 publications
(5 citation statements)
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“…A game for children with motor impairments [33,34,36] demonstrates Nomon's applicability in real life. Nel et al [43] extended Nomon's noise model to develop a communication method for single-switch users who are also visually-impaired.…”
Section: Input Via a Noisy Switchmentioning
confidence: 99%
“…A game for children with motor impairments [33,34,36] demonstrates Nomon's applicability in real life. Nel et al [43] extended Nomon's noise model to develop a communication method for single-switch users who are also visually-impaired.…”
Section: Input Via a Noisy Switchmentioning
confidence: 99%
“…We have shown in [1] how to effectively parallelise the audio input stream: Groups of letters are uttered in the same audio channel by the same person, as illustrated in Figure 1(b). The user is expected to wear headphones.…”
Section: Letter Selections From Audio Filesmentioning
confidence: 99%
“…In the shown example, it allows one to play the alphabet twice to the user in just over five seconds. We refer to the main paper [1] for an overview of the system and definitions of terminology and notation.…”
Section: Letter Selections From Audio Filesmentioning
confidence: 99%
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“…Further, monitoring predictions can be difficult without visual feedback. Eyes-free text input can be slow for users who are visually-impaired (Nicolau et al, 2019), and even slower for users who are motor-and visually-impaired (Nel et al, 2019). Finally, eyes-free text input may be needed in future augmented reality (AR) interfaces where visual feedback is limited or non-existent (e.g.…”
Section: Introductionmentioning
confidence: 99%