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

Roussille, Philippe and Raynal, Mathieu and Jouffrais, Christophe LOVIE: a word prediction list optimized for visually impaired users on smartphones. (2016) In: 10th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2016), 17 July 2016 - 22 July 2016 (Toronto, Canada).

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Official URL: http://dx.doi.org/10.1007/978-3-319-40244-4_18

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 9738 of Lecture Notes in Computer Science ISSN : 0302-9743 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-40244-4_18
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:11 Sep 2017 12:18

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