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Identifying key factors to distinguish artificial and human avatars in the metaverse: insights from software professionals

Berktaş, Osman Tahsin, Yılmaz, Murat orcid logoORCID: 0000-0002-2446-3224 and Clarke, Paul orcid logoORCID: 0000-0002-4487-627X (2023) Identifying key factors to distinguish artificial and human avatars in the metaverse: insights from software professionals. In: 30th European Conference on Software Process Improvement (EuroSPI 2023), 30 Aug - 1 Sept 2023, Grenoble, France. ISBN 978-3-031-42306-2

Abstract
The Metaverse comprises a network of interconnected 3D virtual worlds, poised to become the primary gateway for future online experiences. These experiences hinge upon the use of avatars, participants' virtual counterparts capable of exhibiting human-like non-verbal behaviors, such as gestures, walking, dancing, and social interaction. Discerning between human and artificial avatars becomes crucial as the concept gains prominence. Advances in artificial intelligence have facilitated the creation of virtual human-like entities, underscoring the importance of distinguishing between virtual agents and human characters. This paper investigates the factors differentiating human and virtual participants within the Metaverse environment. A semi-structured interview approach was employed, with data collected from software practitioners (N=10). Our preliminary findings indicate that response speed, adaptability to unforeseen events, and recurring scenarios play significant roles in determining whether an entity in the virtual world is a human or an intelligent agent.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Metaverse; Avatars; Artificial Agents; Virtual Characters
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Published in: 30th European Conference on Software Process Improvement (EuroSPI 2023). Communications in Computer and Information Science (CCIS) 1890. Springer. ISBN 978-3-031-42306-2
Publisher:Springer
Official URL:https://doi.org/10.1007/978-3-031-42307-9_8
Copyright Information:© 2023 The Authors.
Funders:Science Foundation Ireland (https://www.sfi.ie/) grant No SFI 13/RC/2094 P2
ID Code:29091
Deposited On:26 Sep 2023 11:09 by Thomas Murtagh . Last Modified 26 Sep 2023 11:53
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