Laboratoire d'Informatique de Grenoble Équipe Ingénierie de l'Interaction Humain-Machine

Équipe Ingénierie de l'Interaction

Typing Efficiency and Suggestion Accuracy Influence the Benefits and Adoption of Word Suggestions

In CHI 2021 - Conference on Human Factors in Computing Systems. 2021.

Quentin Roy, Sébastien Berlioux, Géry Casiez, Daniel Vogel

(travail réalisé à WaterlooHCI)


Suggesting words to complete a given sequence of characters isa common feature of typing interfaces. Yet, previous studies havenot found a clear benefit, some even finding it detrimental. Wereport on the first study to control for two important factors, wordsuggestion accuracy and typing efficiency. Our accuracy factor isenabled by a new methodology that builds on standard metrics ofword suggestions. Typing efficiency is based on device type. Resultsshow word suggestions are used less often in a desktop condition,with little difference between tablet and phone conditions. Veryaccurate suggestions do not improve entry speed on desktop, but doon tablet and phone. Based on our findings, we discuss implicationsfor the design of automation features in typing systems.