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dc.contributor.authorTsai, Hsin-Rueyen_US
dc.contributor.authorChen, Po-Changen_US
dc.contributor.authorChan, Liweien_US
dc.contributor.authorHung, Yi-Pingen_US
dc.date.accessioned2019-04-02T05:58:38Z-
dc.date.available2019-04-02T05:58:38Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1044-7318en_US
dc.identifier.urihttp://dx.doi.org/10.1080/10447318.2017.1331534en_US
dc.identifier.urihttp://hdl.handle.net/11536/148051-
dc.description.abstractOne-handed input for smartwatches is crucial when users' hands are occupied. A rotational motion is leveraged, which can be detected by built-in motion sensors in most smartwatches, as input to provide item selection. Users control a cursor by rotating the smartwatch into different orientations using the proposed item selection gestures. To understand human wrist dexterity and the ability to perform rotational motion input along each degree of freedom on smartwatches, a human-factor study was performed. Except dexterity, users' consensus and agreement of user-defined rotational motion input gestures for selection and commitment on smartwatches in an exploratory user study were also observed. Based on both the studies, gestures roll and tilt are proposed as selection gestures, and shake and nod are used as commitment gestures. The item selection performance using the proposed gestures in 2D layouts in a user study was further evaluated. The study results showed that tilt-nod and tilt-shake are suitable for item numbers (4x3) and (5x5), respectively. Furthermore, due to high error rate for tilt-shake in (2x2) caused by false positive in shake detection, roll-shake with better social acceptance can be used as an alternative for smartwatches without a built-in front camera in (2x2).en_US
dc.language.isoen_USen_US
dc.titleOne-Handed Input Through Rotational Motion for Smartwatchesen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/10447318.2017.1331534en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTIONen_US
dc.citation.volume34en_US
dc.citation.spage971en_US
dc.citation.epage986en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000442685600001en_US
dc.citation.woscount0en_US
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