政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/127162

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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/127162

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/127162

Title:	One-Handed Input Through Rotational Motion for Smartwatches
Authors:	蔡欣叡 Tsai, Hsin-Ruey Po-Chang Chen Chan, Liwei Hung, Yi-Ping
Contributors:	資科系
Date:	2018-05
Issue Date:	2019-10-30 10:27:07 (UTC+8)
Abstract:	One-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 (4 × 3) and (5 × 5), respectively. Furthermore, due to high error rate for tilt-shake in (2 × 2) 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 (2 × 2).
Relation:	International Journal of Human–Computer Interaction (IJHCI), pp.971-986
Data Type:	article
DOI 連結:	https://doi.org/10.1080/10447318.2017.1331534
DOI:	10.1080/10447318.2017.1331534
Appears in Collections:	[資訊科學系] 期刊論文

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