Evaluation of WordTree system with motor disabled users

Abstract

In this paper we propose a novel interaction technique to use with a prediction list. Our aim is to optimize the use of this assistive aid. A prediction list is generally used to reduce effort by presenting a list of candidate words that may continue the prefix of the user. However, this technique presents a disadvantage: sometimes the word that the user is aiming to write is not presented in the list. The user has to continue his typing manually. Our technique allows the user to click on any letter in a word of the list so that the substring from this letter is inserted in the text. We also present the experiments carried out to compare our system to the classical list. © 2010 Springer-Verlag Berlin Heidelberg.