TY - GEN
T1 - Ontology-Based Modeling of User-Environment Interaction in a Virtual Reality Exhibition
AU - Javdani Rikhtehgar, Delaram
AU - Wang, Shenghui
AU - Schlobach, Stefan
AU - Heylen, Dirk
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Virtual reality (VR) technology has transformed digital content experiences by providing immersive opportunities for users to explore virtual worlds. To accurately represent the intricate interactions between users and their virtual environments, it is crucial to effectively model objects, user and environment actions, as well as user interests and preferences. This paper proposes an ontology-based modeling approach for capturing user-environment interaction in a VR exhibition. By leveraging ontologies, which offer a formal representation of knowledge and define concepts, relationships, and rules within a domain, a structured framework can be established to capture the semantics of user behavior and environmental attributes. This approach presents several advantages, including standardized representation, interoperability, and compatibility across diverse platforms. Moreover, ontologies enable intelligent behavior modeling and adaptive interactions, enhancing semantic reasoning and inference capabilities. This paper delves into design principles, methodologies, and implementation considerations for developing ontologies that depict the dynamics of user behavior and environmental attributes. The research endeavors to contribute to the field of VR exhibition design, enabling personalized experiences for users.
AB - Virtual reality (VR) technology has transformed digital content experiences by providing immersive opportunities for users to explore virtual worlds. To accurately represent the intricate interactions between users and their virtual environments, it is crucial to effectively model objects, user and environment actions, as well as user interests and preferences. This paper proposes an ontology-based modeling approach for capturing user-environment interaction in a VR exhibition. By leveraging ontologies, which offer a formal representation of knowledge and define concepts, relationships, and rules within a domain, a structured framework can be established to capture the semantics of user behavior and environmental attributes. This approach presents several advantages, including standardized representation, interoperability, and compatibility across diverse platforms. Moreover, ontologies enable intelligent behavior modeling and adaptive interactions, enhancing semantic reasoning and inference capabilities. This paper delves into design principles, methodologies, and implementation considerations for developing ontologies that depict the dynamics of user behavior and environmental attributes. The research endeavors to contribute to the field of VR exhibition design, enabling personalized experiences for users.
KW - Cultural Heritage
KW - Human-Machine Interaction
KW - Ontology-based User Modeling
KW - Virtual Reality
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U2 - 10.1007/978-3-031-65990-4_22
DO - 10.1007/978-3-031-65990-4_22
M3 - Conference contribution
AN - SCOPUS:85200980400
SN - 9783031659898
T3 - Communications in Computer and Information Science
SP - 241
EP - 252
BT - Metadata and Semantic Research
A2 - Garoufallou, Emmanouel
A2 - Sartori, Fabio
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th Research Conference on Metadata and Semantic Research, MTSR 2023
Y2 - 25 October 2023 through 27 October 2023
ER -