SWIFT: A Short Word Solution for Fast Typing

  • Philippe Roussille
  • Mathieu RaynalEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9759)


In this paper, we study one specic problem linked to text input techniques based on prediction and deduction lists; namely, short-word problems. Indeed, while prediction is fast and can be easily made effective for long words (e.g. more than 4 characters), short words take longer to be typed with prediction: the time spent browsing a list-based interaction slows the user down. The present study compares two possible approaches where the user selects inside a prediction list of short words versus tactile exploration (native Voive Over for Apple). Results of our comparative study reveal that our technique reduces the overall typing time and the error rate by 38 % compared to tactile exploration.


Text input Visual impairment Touchscreen Mobile device Short words Word prediction 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.University of Toulouse - IRITToulouseFrance

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