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Detecting a User ’ s Interacting Hand for Ergonomic Adaptation of Mobile User Interfaces
| Content Provider | Semantic Scholar |
|---|---|
| Author | Löchtefeld, Markus Schardt, Phillip Krüger, Antonio Boring, Sebastian |
| Copyright Year | 2015 |
| Abstract | Often, we operate mobile devices using only one hand. The hand thereby serves two purposes: holding the device and operating the touch screen with the thumb. The current trend of increasing screen sizes however, makes it close to impossible to reach all parts of the screen (especially the top area) for users with average hand sizes. One solution is to offer adaptive user interfaces for such one-handed interactions. These modes have to be triggered manually and thus induce a critical overhead. They are further designed to bring all content closer, regardless of whether the phone is operated with the left or right hand. In this paper, we present an algorithm that allows determining the users’ interacting hand from their unlocking behavior. Our algorithm correctly distinguishes oneand twohanded usage as well as leftand right handed unlocking in 98.51% of all cases. This is achieved through a k-nearest neighbor comparison of the internal sensor readings of the smartphone during the unlocking process. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.sebastianboring.com/content/publications/prints/loechtefeld.MUM-2015.ergonomicadaptation.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
