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Autonomous agents and avatars in REVERIE’s virtual environment

Kuijk, Fons, Apostolakis, Konstantinos, Daras, Petros orcid logoORCID: 0000-0003-3814-6710, Ravenet, Brian, Wei, Haolin and Monaghan, David orcid logoORCID: 0000-0002-5169-9902 (2015) Autonomous agents and avatars in REVERIE’s virtual environment. In: Web3d 2015 - 20th International Conference on 3D Web Technology, 18-21 June 2015, Crete, Greece. ISBN 978-1-4503-3647-5

Abstract
In this paper, we describe the enactment of autonomous agents and avatars in the web-based social collaborative virtual environment of REVERIE that supports natural, human-like behavior, physical interaction and engagement. Represented by avatars, users feel immersed in this virtual world in which they can meet and share experiences as in real life. Like the avatars, autonomous agents that may act in this world are capable of demonstrating human-like non-verbal behavior and facilitate social interaction. We describe how reasoning components of the REVERIE system connect and cooperatively control autonomous agents and avatars representing a user.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine learning
Computer Science > Visualization
Computer Science > Artificial intelligence
Engineering > Virtual reality
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 20th International Conference on 3D Web Technology. . Association for Computing Machinery. ISBN 978-1-4503-3647-5
Publisher:Association for Computing Machinery
Official URL:http://dl.acm.org/citation.cfm?id=2775305
Copyright Information:© 2015 ACM
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20599
Deposited On:26 Jun 2015 12:44 by David Monaghan . Last Modified 25 Nov 2019 15:49
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