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SculptMate: Personalizing cultural heritage experience using fuzzy weights

Authors:

Panagiotis Strousopoulos,

Christos Papakostas,

Christos Troussas,

Akrivi Krouska,

Phivos Mylonas,

Cleo SgouropoulouAuthors Info & Claims

UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Pages 397 - 407

https://doi.org/10.1145/3563359.3596667

Published: 16 June 2023 Publication History

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Abstract

Virtual Environment (VE) technology has become increasingly popular in the cultural heritage field, providing new ways to experience and interact with cultural artifacts and sites. By creating immersive and realistic virtual environments, VE technology allows users to explore and engage with cultural heritage in a more dynamic and engaging way. Towards this direction, this study introduces SculptMate, a cutting-edge mobile application that uses advanced personalization features (fuzzy logic) to enhance the appreciation and understanding of sculptures from various eras and artistic styles. The application aims to provide users with an immersive and interactive experience, both within and beyond museum settings, by allowing them to explore and interact with an extensive collection of virtual sculptures from museums and galleries worldwide. The paper's objectives are to investigate the potential of SculptMate, examine the effectiveness of fuzzy logic in personalizing the user experience, and assess the impact of the personalized experience on user engagement and satisfaction. The novelty of this study lies in the utilization of fuzzy logic in VE for personalizing the cultural heritage experience. SculptMate has been evaluated with very promising results.

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Cited By

Strousopoulos PTroussas CKrouska ASgouropoulou C(2024)Architecting Immersive Education: Designing an Intelligent Online Virtual UniversityNovel and Intelligent Digital Systems: Proceedings of the 4th International Conference (NiDS 2024)10.1007/978-3-031-73344-4_29(346-356)Online publication date: 16-Oct-2024
https://doi.org/10.1007/978-3-031-73344-4_29
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Conclusions of AI-Driven AR in EducationSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_7(157-176)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_7
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Multi-model Evaluation of the Artificial Intelligence-Enhanced PARSAT AR SoftwareSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_6(131-155)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_6
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cover image ACM Conferences

UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

June 2023

446 pages

ISBN:9781450398916

DOI:10.1145/3563359

Copyright � 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 16 June 2023

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June 26 - 29, 2023

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Cited By

Strousopoulos PTroussas CKrouska ASgouropoulou C(2024)Architecting Immersive Education: Designing an Intelligent Online Virtual UniversityNovel and Intelligent Digital Systems: Proceedings of the 4th International Conference (NiDS 2024)10.1007/978-3-031-73344-4_29(346-356)Online publication date: 16-Oct-2024
https://doi.org/10.1007/978-3-031-73344-4_29
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Conclusions of AI-Driven AR in EducationSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_7(157-176)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_7
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Multi-model Evaluation of the Artificial Intelligence-Enhanced PARSAT AR SoftwareSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_6(131-155)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_6
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Artificial Intelligence-Enhanced PARSAT AR Software: Architecture and ImplementationSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_5(93-130)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_5
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Fuzzy Logic for Modeling the Knowledge of Users in PARSAT AR SoftwareSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_4(65-91)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_4
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)AI-Driven and SOLO-Based Domain Knowledge Modeling in PARSAT AR SoftwareSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_3(51-63)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_3
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Review of the Literature on AI-Enhanced Augmented Reality in EducationSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_2(13-50)Online publication date: 31-Jan-2024
https://doi.org/10.1007/978-3-031-52005-1_2
Papakostas CTroussas CSgouropoulou CPapakostas CTroussas CSgouropoulou C(2024)Introduction and Overview of AI-Enhanced Augmented Reality in EducationSpecial Topics in Artificial Intelligence and Augmented Reality10.1007/978-3-031-52005-1_1(1-11)Online publication date: 31-Jan-2024
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Ha HMun C(2023)Evolutionary System Design for Virtual Field Trip PlatformSustainability10.3390/su15201491715:20(14917)Online publication date: 16-Oct-2023
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