Comparing Smartphone Speech Recognition ...
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and Transcription
Auteur(s) :
Foley, Margaret [Auteur]
David R. Cheriton School of Computer Science
Casiez, Géry [Auteur]
Université de Lille
Technology and knowledge for interaction [LOKI]
Institut Universitaire de France [IUF]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Vogel, Daniel [Auteur]
David R. Cheriton School of Computer Science
David R. Cheriton School of Computer Science
Casiez, Géry [Auteur]
Université de Lille
Technology and knowledge for interaction [LOKI]
Institut Universitaire de France [IUF]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Vogel, Daniel [Auteur]
David R. Cheriton School of Computer Science
Titre de la manifestation scientifique :
CHI 2020 - ACM Conference on Human Factors in Computing Systems
Ville :
Honolulu
Pays :
Etats-Unis d'Amérique
Date de début de la manifestation scientifique :
2020-04-25
Éditeur :
ACM
Mot(s)-clé(s) en anglais :
speech recognition
text entry
mobile phones
Human-Computer Interaction
text entry
mobile phones
Human-Computer Interaction
Discipline(s) HAL :
Informatique [cs]/Interface homme-machine [cs.HC]
Résumé en anglais : [en]
Ruan et al. found transcribing short phrases with speech recognition nearly 200% faster than typing on a smartphone. We extend this comparison to a novel composition task, using a protocol that enables a controlled comparison ...
Lire la suite >Ruan et al. found transcribing short phrases with speech recognition nearly 200% faster than typing on a smartphone. We extend this comparison to a novel composition task, using a protocol that enables a controlled comparison with transcription. Results show that both composing and transcribing with speech is faster than typing. But, the magnitude of this difference is lower with composition, and speech has a lower error rate than keyboard during composition, but not during transcription. When transcribing, speech outperformed typing in most NASA-TLX measures, but when composing, there were no significant differences between typing and speech for any measure except physical demand.Lire moins >
Lire la suite >Ruan et al. found transcribing short phrases with speech recognition nearly 200% faster than typing on a smartphone. We extend this comparison to a novel composition task, using a protocol that enables a controlled comparison with transcription. Results show that both composing and transcribing with speech is faster than typing. But, the magnitude of this difference is lower with composition, and speech has a lower error rate than keyboard during composition, but not during transcription. When transcribing, speech outperformed typing in most NASA-TLX measures, but when composing, there were no significant differences between typing and speech for any measure except physical demand.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.archives-ouvertes.fr/hal-02919659/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-02919659/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-02919659/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- chi20c-sub9653-cam-i16.pdf
- Accès libre
- Accéder au document