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Providing Visual Support for Selecting Reactive Elements in Intelligent Environments

Majewski, Martin and Braun, Andreas and Marinc, Alexander and Kuijper, Arjan (2013):
Providing Visual Support for Selecting Reactive Elements in Intelligent Environments.
Springer, Berlin, Heidelberg, New York, In: Transactions on Computational Science XVIII, In: Lecture Notes in Computer Science (LNCS); 7848, DOI: 10.1007/978-3-642-38803-3₁₄,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Majewski, Martin and Braun, Andreas and Marinc, Alexander and Kuijper, Arjan
Title: Providing Visual Support for Selecting Reactive Elements in Intelligent Environments
Language: English
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.

Series Name: Lecture Notes in Computer Science (LNCS); 7848
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Gesture based interaction, Human-computer interaction (HCI), Feedback, Ambient intelligence (AmI)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Transactions on Computational Science XVIII
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-38803-3₁₄
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