Dynamic Gaussian Force Field Controlled Kalman Filtering For Pointing Interaction

van de Camp, Florian; Stiefelhagen, Rainer

Dynamic Gaussian Force Field Controlled Kalman Filtering For Pointing Interaction

dc.contributor.author	van de Camp, Florian	de
dc.contributor.author	Stiefelhagen, Rainer	de
dc.contributor.editor	Boll, Susanne
dc.contributor.editor	Maaß, Susanne
dc.contributor.editor	Malaka, Rainer
dc.date.accessioned	2017-11-22T14:54:52Z
dc.date.available	2017-11-22T14:54:52Z
dc.date.issued	2013
dc.description.abstract	As human computer interaction is extending from the desk to the whole room, modalities allowing for distant interaction become more important. Distant interaction however, is inherently inaccurate. Assisting technologies, like force fields, sticky targets, and target expansion have been shown to improve pointing tasks. We present a new variant of force fields that are modeled using Gaussian distributions, which makes placement and configuration as well as overlap handling straight forward. In addition, the force fields are dynamically activated by predicting targets, to allow for natural and fluent movements. Results from a user study show, that the dynamic Gaussian fields can speed up the time needed to click a button with a pointing gesture by up to 60%.	en
dc.identifier.isbn	978-3-486-77856-4
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/7529
dc.language.iso	en	en
dc.publisher	Oldenbourg Verlag
dc.relation.ispartof	Mensch & Computer 2013: Interaktive Vielfalt
dc.subject	forcefields	de
dc.subject	pointinggestures	de
dc.subject	interaction	de
dc.subject	contextknowledge	de
dc.title	Dynamic Gaussian Force Field Controlled Kalman Filtering For Pointing Interaction	en
dc.type	muc: langbeitrag (vorträge)	en
gi.citation.endPage	270
gi.citation.publisherPlace	München
gi.citation.startPage	261	de_DE
gi.conference.sessiontitle	Session09: Touch und Gestik	de_DE
gi.document.quality	digidoc

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