%0 Conference Proceedings
%T Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch Screens
%+ Télécom ParisTech
%+ General Electric Medical Systems [Buc] (GE Healthcare)
%A Roy, Quentin
%A Guiard, Yves
%A Bailly, Gilles
%A Lecolinet, Éric
%A Rioul, Olivier
%Z GE HealthCare
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B Proc. 15th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT'15)
%C Bamberg, Germany
%Y Abascal, Julio
%Y Barbosa, Simone
%Y Fetter, Mirko
%Y Gross, Tom
%Y Palanque, Philippe
%Y Winckler, Marco
%I Springer
%3 Human-Computer Interaction – INTERACT 2015
%V LNCS-9299
%N Part IV
%P 55-71
%8 2015-09-14
%D 2015
%Z 1901.08325
%R 10.1007/978-3-319-22723-8_5
%K Finger identification
%K Evaluation methodology
%K Throughput
%K Multitouch
%K Input modality
%K Evaluation meth- odology
%K Information Theory
%K Evaluation meth-odology
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]
%Z Computer Science [cs]/Information Theory [cs.IT]Conference papers
%X The usability of small devices such as smartphones or interactive watches is often hampered by the limited size of command vocabularies. This paper is an attempt at better understanding how finger identification may help users invoke commands on touch screens, even without recourse to multi-touch input. We describe how finger identification can increase the size of input vocab‐ ularies under the constraint of limited real estate, and we discuss some visual cues to communicate this novel modality to novice users. We report a controlled experiment that evaluated, over a large range of input-vocabulary sizes, the effi‐ ciency of single-touch command selections with vs. without finger identification. We analyzed the data not only in terms of traditional time and error metrics, but also in terms of a throughput measure based on Shannon’s theory, which we show offers a synthetic and parsimonious account of users’ performance. The results show that the larger the input vocabulary needed by the designer, the more prom‐ ising the identification of individual fingers.
%G English
%Z TC 13
%2 https://hal.science/hal-01202852v2/document
%2 https://hal.science/hal-01202852v2/file/skinvsglass-2019.pdf
%L hal-01202852
%U https://hal.science/hal-01202852
%~ INSTITUT-TELECOM
%~ ENST
%~ TELECOM-PARISTECH
%~ PARISTECH
%~ HCI-SORBONNE
%~ UNIV-PARIS-SACLAY
%~ TELECOM-PARISTECH-SACLAY
%~ LTCI
%~ COMELEC
%~ INFRES
%~ COMNUM
%~ DIVA