Name
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 (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). |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1080/10447318.2017.1331534 | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION |
Field | DocType | Volume |
Computer vision,Computer science,Rotation around a fixed axis,Human–computer interaction,Motion sensors,Artificial intelligence,Smartwatch | Journal | 34 |
Issue | ISSN | Citations |
11 | 1044-7318 | 0 |
PageRank | References | Authors |
0.34 | 28 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsin-Ruey Tsai | 1 | 36 | 7.19 |
| Po-Chang Chen | 2 | 8 | 1.88 |
| Liwei Chan | 3 | 319 | 27.40 |
| Yi-Ping Hung | 4 | 1743 | 168.25 |