TouchTokens: Guiding Touch Patterns with Passive Tokens

Rafael Morales Gonzalez 1, 2 Caroline Appert 1, 2 Gilles Bailly 3, 4, 2 Emmanuel Pietriga 1, 5, 2
1 ILDA - Interacting with Large Data
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique
2 Université Paris-Saclay
3 Télécom ParisTech
4 CNRS - Centre National de la Recherche Scientifique
5 CIRIC - Inria Chile
Abstract : TouchTokens make it possible to easily build interfaces that combine tangible and gestural input using passive tokens and a regular multi-touch surface. The tokens constrain users' grasp, and thus, the relative spatial configuration of fingers on the surface, theoretically making it possible to design algorithms that can recognize the resulting touch patterns. We performed a formative user study to collect and analyze touch patterns with tokens of varying shape and size. The analysis of this pattern collection showed that individual users have a consistent grasp for each token, but that this grasp is user-dependent and that different grasp strategies can lead to confounding patterns. We thus designed a second set of tokens featuring notches that constrain users' grasp. Our recognition algorithm can classify the resulting patterns with a high level of accuracy (>95%) without any training, enabling application designers to associate rich touch input vocabularies with command triggers and parameter controls.
Type de document :
Communication dans un congrès
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, May 2016, San Jose, CA, United States. ACM, pp.4189-4202, CHI '16. 〈10.1145/2858036.2858041〉
Liste complète des métadonnées

Littérature citée [56 références]  Voir  Masquer  Télécharger
https://hal.archives-ouvertes.fr/hal-01315130
Contributeur : Caroline Appert <>
Soumis le : jeudi 12 mai 2016 - 17:03:53
Dernière modification le : jeudi 26 juillet 2018 - 12:16:02
Document(s) archivé(s) le : mercredi 16 novembre 2016 - 02:40:14

Fichier

touchtokens-hal.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UMR8623 | INRIA-CHILE | LRI-HCC | INRIA | HCI-SORBONNE | CENTRALESUPELEC | UNIV-PARIS-SACLAY

Citation

Rafael Morales Gonzalez, Caroline Appert, Gilles Bailly, Emmanuel Pietriga. TouchTokens: Guiding Touch Patterns with Passive Tokens. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, May 2016, San Jose, CA, United States. ACM, pp.4189-4202, CHI '16. 〈10.1145/2858036.2858041〉. 〈hal-01315130〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

561

Téléchargements de fichiers

1077

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD