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Conference papers

LOVIE: a word prediction list optimized for visually impaired users on smartphones

Philippe Roussille 1 Mathieu Raynal 2 
1 IRIT-SIG - Systèmes d’Informations Généralisées
IRIT - Institut de recherche en informatique de Toulouse
2 IRIT-ELIPSE - Etude de L’Interaction Personne SystèmE
IRIT - Institut de recherche en informatique de Toulouse
Abstract : On mobile devices, most text entry systems offer assistance through the means of prediction or correction word lists. These lists can hardly be used by visually impaired users in a short time. In this paper, we present three studies to find an interaction which minimizes the time required to select a word from a list without knowing its elements a priori. First, we explored the various possible item layouts, to conclude that a linear spatial arrangement is preferable. Then we studied the audio feedback, and we have determined that providing on-demand audio feedback is enough. Finally, we proposed four validation interactions to retain a validation based on the principle of a press-release gesture.
Keywords : Mobile devices
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https://hal.archives-ouvertes.fr/hal-02926524
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Submitted on : Thursday, May 5, 2022 - 3:59:14 PM
Last modification on : Monday, July 4, 2022 - 8:37:17 AM

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Philippe Roussille, Mathieu Raynal. LOVIE: a word prediction list optimized for visually impaired users on smartphones. 10th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2016), Jul 2016, Toronto, Canada. pp.185-197, ⟨10.1007/978-3-319-40244-4_18⟩. ⟨hal-02926524⟩

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