Relative accuracy measures for stroke gestures

  • Authors:
  • Radu-Daniel Vatavu;Lisa Anthony;Jacob O. Wobbrock

  • Affiliations:
  • University Stefan cel Mare of Suceava, Suceava, Romania;UMBC Information Systems, Baltimore, USA;University of Washington, Seattle, USA

  • Venue:
  • Proceedings of the 15th ACM on International conference on multimodal interaction
  • Year:
  • 2013

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Abstract

Current measures of stroke gesture articulation lack descriptive power because they only capture absolute characteristics about the gesture as a whole, not fine-grained features that reveal subtleties about the gesture articulation path. We present a set of twelve new relative accuracy measures for stroke gesture articulation that characterize the geometric, kinematic, and articulation accuracy of single and multi-stroke gestures. To compute the accuracy measures, we introduce the concept of a gesture task axis. We evaluate our measures on five public datasets comprising 38,245 samples from 107 participants, about which we make new discoveries; e.g., gestures articulated at fast speed are shorter in path length than slow or medium-speed gestures, but their path lengths vary the most, a finding that helps understand recognition performance. This work will enable a better understanding of users' stroke gesture articulation behavior, ultimately leading to better gesture set designs and more accurate recognizers.