Mobile devices: soft keyboard text-entry enhanced by Visual Cues

  • Authors:
  • Laurent Magnien;Jean Leon Bouraoui;Nadine Vigouroux

  • Affiliations:
  • IRIT/DIAMANT;IRIT/DIAMANT;IRIT/DIAMANT

  • Venue:
  • UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
  • Year:
  • 2004

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Abstract

Soft keyboards usually depict a minimal representation of standard desk keyboard. To optimize these devices, some researchers have proposed non-standard keyboard layouts (letters arrangement of the keys). This would theortically allow to reach greater performances. However these soft keyboards do not meet a wide audience. A probable explanation is the difficulty to become familiar with an unknown layout. In order to facilitate this process, we propose to use visual clues: keys likely to be selected are predicted and highlighted. Hence the user has to scan less key to enter a character. We start to evaluate this method through a user study, by designing a situation where subject is systematically faced with a novel layout. First results suggest that visual clues improve text entry rate on unknown soft keyboard layouts. Hence, according to the letter prediction system, visual clues could be used to improve immediate user satisfaction with optimized soft keyboard, contributing to enlarge their audience.