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Visual Support System for Selecting Reactive Elements in Intelligent Environments

Majewski, Martin and Braun, Andreas and Marinc, Alexander and Kuijper, Arjan (2012):
Visual Support System for Selecting Reactive Elements in Intelligent Environments.
IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, Calif., In: 2012 International Conference on Cyberworlds. Proceedings, DOI: 10.1109/CW.2012.56,
[Conference or Workshop Item]

Abstract

Concerning gestural interaction in realistic environments there often is an offset between perceived and actual direction of pointing that makes it difficult to reliably select elements in the environment. This work presents a visual support system that provides feedback to a user gesturing freely in an environment and thus enabling reliable selection of and interaction with reactive elements in intelligent environments. A prototype has been created that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and feedback provision using a custom 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: 2012
Creators: Majewski, Martin and Braun, Andreas and Marinc, Alexander and Kuijper, Arjan
Title: Visual Support System for Selecting Reactive Elements in Intelligent Environments
Language: English
Abstract:

Concerning gestural interaction in realistic environments there often is an offset between perceived and actual direction of pointing that makes it difficult to reliably select elements in the environment. This work presents a visual support system that provides feedback to a user gesturing freely in an environment and thus enabling reliable selection of and interaction with reactive elements in intelligent environments. A prototype has been created that is showcasing this feedback method based on gesture recognition using the Microsoft Kinect and feedback provision using a custom 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.

Publisher: IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, Calif.
Uncontrolled Keywords: Business Field: Digital society, Research Area: Semantics in the modeling process, Gesture based interaction, Feedback, Ambient intelligence (AmI), Human-computer interaction (HCI)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: 2012 International Conference on Cyberworlds. Proceedings
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1109/CW.2012.56
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