Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 55-71

Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch Screens

  • Quentin Roy
  • Yves Guiard
  • Gilles Bailly
  • Éric Lecolinet
  • Olivier Rioul
Conference paper

DOI: 10.1007/978-3-319-22723-8_5

Volume 9299 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Roy Q., Guiard Y., Bailly G., Lecolinet É., Rioul O. (2015) Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch Screens. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9299. Springer, Cham

Abstract

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 vocabularies 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 efficiency 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 promising the identification of individual fingers.

Keywords

Input modality Multitouch Finger identification Evaluation methodology Throughput Information theory 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Quentin Roy
    • 1
    • 2
  • Yves Guiard
    • 1
  • Gilles Bailly
    • 1
  • Éric Lecolinet
    • 1
  • Olivier Rioul
    • 1
  1. 1.Telecom ParisTech, CNRS LTCI UMR 5141ParisFrance
  2. 2.GE HealthcareBucFrance