How We Swipe: A Large-scale Shape-writing Dataset and Empirical Findings

Luis A. Leiva, Sunjun Kim, Wenzhe Cui, Xiaojun Bi, Antti Oulasvirta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Despite the prevalence of shape-writing (gesture typing, swype input, or swiping for short) as a text entry method, there are currently no public datasets available. We report a large-scale dataset that can support efforts in both empirical study of swiping as well as the development of better intelligent text entry techniques. The dataset was collected via a web-based custom virtual keyboard, involving 1,338 users who submitted 11,318 unique English words. We report aggregate-level indices on typing performance, user-related factors, as well as trajectory-level data, such as the gesture path drawn on top of the keyboard or the time lapsed between consecutively swiped keys. We find some well-known effects reported in previous studies, for example that speed and error are affected by age and language skill. We also find surprising relationships such that, on large screens, swipe trajectories are longer but people swipe faster.

Original languageEnglish
Title of host publicationProceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction
Subtitle of host publicationMobile Apart, MobileTogether
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450383288
DOIs
StatePublished - 27 Sep 2021
Event23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021 - Virtual, Online, France
Duration: 27 Sep 20211 Oct 2021

Publication series

NameProceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether

Conference

Conference23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021
Country/TerritoryFrance
CityVirtual, Online
Period27/09/211/10/21

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.

Keywords

  • Dataset
  • Gesture Typing
  • Phrase set
  • Shape-writing
  • Swiping
  • Text Entry

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