Titre :

Leveraging finger identification to integrate multi-touch command selection and parameter manipulation

Auteur(s) :

Goguey, Alix [Auteur]
Computing tools to empower users [MJOLNIR]
Vogel, Daniel [Auteur]
David R. Cheriton School of Computer Science
Chevalier, Fanny [Auteur]
Computing tools to empower users [MJOLNIR]
Pietrzak, Thomas [Auteur]
Université de Lille
Computing tools to empower users [MJOLNIR]
Roussel, Nicolas [Auteur]
Computing tools to empower users [MJOLNIR]
Casiez, Géry [Auteur]
Computing tools to empower users [MJOLNIR]
Université de Lille

Titre de la revue :

International Journal of Human-Computer Studies

Pagination :

21-36

Éditeur :

Elsevier

Date de publication :

2017-03

ISSN :

1071-5819

Mot(s)-clé(s) en anglais :

Parameter control
Command selection
Direct manipulation
Finger identification
Shortcuts
Multitouch
Human - Computer Interaction
Multitouch interaction

Discipline(s) HAL :

Sciences cognitives/Informatique

Résumé en anglais : [en]

Identifying which fingers are touching a multi-touch surface provides a very large input space. We describe FingerCuts, an interaction technique inspired by desktop keyboard shortcuts to exploit this potential. FingerCuts ...
Lire la suite >Identifying which fingers are touching a multi-touch surface provides a very large input space. We describe FingerCuts, an interaction technique inspired by desktop keyboard shortcuts to exploit this potential. FingerCuts enables integrated command selection and parameter manipulation, it uses feed-forward and feedback to increase discoverability, it is backward compatible with current touch input techniques, and it is adaptable for different touch device form factors. We implemented three variations of FingerCuts, each tailored to a different device form factor: tabletop, tablet, and smartphone. Qualitative and quantitative studies conducted on the tabletop suggests that with some practice, FingerCuts is expressive, easy-to-use, and increases a sense of continuous interaction flow and that interaction with FingerCuts is as fast, or faster than using a graphical user interface. A theoretical analysis of FingerCuts using the Fingerstroke-Level Model (FLM) matches our quantitative study results, justifying our use of FLM to analyse and validate the performance for the other device form factors.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL