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
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
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.
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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〉
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Contributeur : Caroline Appert <>
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Dernière modification le : jeudi 26 juillet 2018 - 12:16:02
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UMR8623 | INRIA-CHILE | LRI-HCC | INRIA | HCI-SORBONNE | CENTRALESUPELEC | UNIV-PARIS-SACLAY

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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〉

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