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Providing Visual Support for Selecting Reactive Elements in Intelligent Environments

Majewski, Martin ; Braun, Andreas ; Marinc, Alexander ; Kuijper, Arjan (2013)
Providing Visual Support for Selecting Reactive Elements in Intelligent Environments.
Transactions on Computational Science XVIII.
doi: 10.1007/978-3-642-38803-3_14
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

When realizing gestural interaction in a typical living environment there often is an offset between user-perceived and machine-perceived direction of pointing, which can hinder reliable selection of elements in the surroundings. This work presents a support system that provides visual feedback to a freely gesturing user; thus enabling reliable selection of and interaction with reactive elements in intelligent environments. We have created a prototype that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and visual support provision using a custom built laser-robot. Finally an evaluation has been performed, in order to prove the efficiency of such a system, acquire usability feedback and determine potential learning effects for gesture-based interaction.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Majewski, Martin ; Braun, Andreas ; Marinc, Alexander ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: Providing Visual Support for Selecting Reactive Elements in Intelligent Environments
Sprache: Englisch
Publikationsjahr: 2013
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Lecture Notes in Computer Science (LNCS); 7848
Veranstaltungstitel: Transactions on Computational Science XVIII
DOI: 10.1007/978-3-642-38803-3_14
Kurzbeschreibung (Abstract):

When realizing gestural interaction in a typical living environment there often is an offset between user-perceived and machine-perceived direction of pointing, which can hinder reliable selection of elements in the surroundings. This work presents a support system that provides visual feedback to a freely gesturing user; thus enabling reliable selection of and interaction with reactive elements in intelligent environments. We have created a prototype that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and visual support provision using a custom built laser-robot. Finally an evaluation has been performed, in order to prove the efficiency of such a system, acquire usability feedback and determine potential learning effects for gesture-based interaction.

Freie Schlagworte: Gesture based interaction, Human-computer interaction (HCI), Feedback, Ambient intelligence (AmI)
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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