Typing Efficiency and Suggestion Accuracy ...
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
Typing Efficiency and Suggestion Accuracy Influence the Benefits and Adoption of Word Suggestions
Auteur(s) :
Roy, Quentin [Auteur]
University of Waterloo [Waterloo]
Berlioux, Sébastien [Auteur]
University of Waterloo [Waterloo]
Casiez, Géry [Auteur]
Technology and knowledge for interaction [LOKI]
Vogel, Daniel [Auteur]
University of Waterloo [Waterloo]
University of Waterloo [Waterloo]
Berlioux, Sébastien [Auteur]
University of Waterloo [Waterloo]
Casiez, Géry [Auteur]
Technology and knowledge for interaction [LOKI]
Vogel, Daniel [Auteur]
University of Waterloo [Waterloo]
Éditeur(s) ou directeur(s) scientifique(s) :
ACM
Titre de la manifestation scientifique :
CHI 2021 - Conference on Human Factors in Computing Systems
Ville :
Yokohama / Virtual
Pays :
Japon
Date de début de la manifestation scientifique :
2021-05-08
Mot(s)-clé(s) en anglais :
Text-entry
Word prediction
Human-Computer Interaction
Word prediction
Human-Computer Interaction
Discipline(s) HAL :
Informatique [cs]/Interface homme-machine [cs.HC]
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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