Tap'n'shake: gesture-based smartwatch-smartphone communications system

Steven McGuckin, Soumyadeb Chowdhury, Lewis Mackenzie

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Smartwatches have recently seen a surge in popularity, and the new technology presents a number of interesting opportunities and challenges, many of which have not been adequately dealt with by existing applications. Current smartwatch messaging systems fail to adequately address the problem of smartwatches requiring two-handed interactions. This paper presents Tap 'n' Shake, a novel gesture-based messaging system for Android smartwatches and smartphones addressing the problem of two-handed interactions by utilising various motion-gestures within the applications. The results of a user evaluation carried out with sixteen subjects demonstrated the usefulness and usability of using gestures over two-handed interactions for smartwatches. Additionally, the study provides insight into the types of gestures that subjects preferred to use for various actions in a smartwatch-smartphone messaging system.
Original languageEnglish
Title of host publicationOzCHI '16 Proceedings of the 28th Australian Conference on Computer-Human Interaction
Place of PublicationNew York, NY (US)
PublisherACM
Pages442-446
Number of pages5
ISBN (Print)978-1-4503-4618-4
DOIs
Publication statusPublished - 29 Nov 2016
Event28th Australian Conference on Computer-Human Interaction - Launceston, Australia
Duration: 29 Nov 20162 Dec 2016

Conference

Conference28th Australian Conference on Computer-Human Interaction
Abbreviated titleOzCHI '16
Country/TerritoryAustralia
CityLaunceston
Period29/11/162/12/16

Bibliographical note

-© ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 28th Australian Conference on Computer-Human Interaction OzCHI '16, Launceston, Tasmania, Australia, 29 Nov - 02 Dec 2016, pp. 442-446. ISBN 9781450346184, http://dx.doi.org/10.1145/3010915.3010983.

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  • Understanding lifelog sharing preferences of lifeloggers

    Chowdhury, S., Ferdous, M. S. & Jose, J. M., 29 Nov 2016, OzCHI '16 Proceedings of the 28th Australian Conference on Computer-Human Interaction. New York, NY (US): ACM, p. 649-651 3 p.

    Research output: Chapter in Book/Published conference outputConference publication

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