Understanding same-side interactions with wrist-worn devices

Frederic Kerber, Markus Löchtefeld, Antonio Krüger, Jess McIntosh, Charlie McNeill, Mike Fraser

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

12 Citations (Scopus)

Abstract

We investigate one-handed, same-side gestural interactions with wrist-worn devices. We contribute results of an elicitation study with 26 participants from various backgrounds to learn about gestures people would like to do when only able to interact using the arm on which they wear the device, e.g. while carrying something in the opposite hand. Based on the analysis of 1,196 video-Taped gestures, 145 atomic gestures could be identified, which in turn were used to create a set of 296 unique gesture combinations. From these, we identified a conflict-free set of 43 gestures to trigger 46 common smartwatch tasks. The results show that symbolic gestures such as drawing a question mark for activating a help function are consistently used across participants. We further found symbolic and continuous gestures to be used significantly more often by men. Based on the results, we derived guidelines that should be considered when designing gestures for SSI.

Original languageEnglish
Title of host publicationProceedings of the 9th Nordic Conference on Human-Computer Interaction
Subtitle of host publicationGame-Changing Design, NordiCHI 2016
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450347631
DOIs
Publication statusPublished - 23 Oct 2016
Event9th Nordic Conference on Human-Computer Interaction, NordiCHI 2016 - Gothenburg, Sweden
Duration: 23 Oct 201627 Oct 2016

Publication series

NameACM International Conference Proceeding Series
Volume23-27-October-2016

Conference

Conference9th Nordic Conference on Human-Computer Interaction, NordiCHI 2016
CountrySweden
CityGothenburg
Period23/10/1627/10/16

Keywords

  • One-handed interaction
  • Same-side interaction
  • Smartwatches
  • Wrist-worn devices

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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