B2b-swipe: Swipe gesture for rectangular smartwatches from a bezel to a bezel

Yuki Kubo, Buntarou Shizuki, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

We present B2B-Swipe, a single-finger swipe gesture for a rectangular smartwatch that starts at a bezel and ends at a bezel to enrich input vocabulary. There are 16 possible B2B-Swipes because a rectangular smartwatch has four bezels. Moreover, B2B-Swipe can be implemented with a single-touch screen with no additional hardware. Our study shows that B2B-Swipe can co-exist with Bezel Swipe and Flick, with an error rate of 3.7% under the sighted condition and 8.0% under the eyes-free condition. Furthermore, B2B-Swipe is potentially accurate (i.e., the error rates were 0% and 0.6% under the sighted and eyes-free conditions) if the system uses only B2B-Swipes for touch gestures.

Original languageEnglish
Title of host publicationCHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages3852-3856
Number of pages5
ISBN (Electronic)9781450333627
DOIs
Publication statusPublished - 2016 May 7
Externally publishedYes
Event34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States
Duration: 2016 May 72016 May 12

Other

Other34th Annual Conference on Human Factors in Computing Systems, CHI 2016
CountryUnited States
CitySan Jose
Period16/5/716/5/12

Keywords

  • Bezel Swipe
  • Crossing
  • Double-crossing
  • Eyes-free input
  • Touch gesture
  • Touch screen
  • Ultra-small devices
  • Wearable

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Kubo, Y., Shizuki, B., & Tanaka, J. (2016). B2b-swipe: Swipe gesture for rectangular smartwatches from a bezel to a bezel. In CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 3852-3856). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858216