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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).

(Document in English)

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


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
HAL Id:hal-02926524
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:11 Sep 2017 12:18

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