Detecting users handedness for ergonomic adaptation of mobile user interfaces

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  • Markus Löchtefeld
  • Phillip Schardt
  • Antonio Krüger
  • Sebastian Boring

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 one- and twohanded usage as well as left- and 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.

OriginalsprogEngelsk
TitelMUM '15 Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia
Antal sider5
ForlagAssociation for Computing Machinery
Publikationsdato2015
Sider245-249
ISBN (Trykt)978-1-4503-3605-5
DOI
StatusUdgivet - 2015
Begivenhed14th International Conference on Mobile and Ubiquitous Multimedia, MUM 2015 - Linz, Østrig
Varighed: 30 nov. 20152 dec. 2015

Konference

Konference14th International Conference on Mobile and Ubiquitous Multimedia, MUM 2015
LandØstrig
ByLinz
Periode30/11/201502/12/2015
SponsorACM Special Interest Group on Computer-Human Interaction (SIGCHI), Association for Computing Machinery, Johannes Kepler Universitat Linz, University of Applied Sciences Upper Austria (FH OOE)

ID: 159747835