AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Dong, Y.
Enhancing Painting Exhibition Experiences with the Application of Augmented Reality-Based AI Video Generation Technology Proceedings Article
In: P., Zaphiris; A., Ioannou; A., Ioannou; R.A., Sottilare; J., Schwarz; M., Rauterberg (Ed.): Lect. Notes Comput. Sci., pp. 256–262, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-303176814-9 (ISBN).
Abstract | Links | BibTeX | Tags: 3D modeling, AI-generated art, Art and Technology, Arts computing, Augmented Reality, Augmented reality technology, Digital Exhibition Design, Dynamic content, E-Learning, Education computing, Generation technologies, Interactive computer graphics, Knowledge Management, Multi dimensional, Planning designs, Three dimensional computer graphics, Video contents, Video generation
@inproceedings{dong_enhancing_2025,
title = {Enhancing Painting Exhibition Experiences with the Application of Augmented Reality-Based AI Video Generation Technology},
author = {Y. Dong},
editor = {Zaphiris P. and Ioannou A. and Ioannou A. and Sottilare R.A. and Schwarz J. and Rauterberg M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213302959&doi=10.1007%2f978-3-031-76815-6_18&partnerID=40&md5=35484f5ed199a831f1a30f265a0d32d5},
doi = {10.1007/978-3-031-76815-6_18},
isbn = {03029743 (ISSN); 978-303176814-9 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15378 LNCS},
pages = {256–262},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Traditional painting exhibitions often rely on flat presentation methods, such as walls and stands, limiting their impact. Augmented Reality (AR) technology presents an opportunity to transform these experiences by turning static, flat artwork into dynamic, multi-dimensional presentations. However, creating and integrating video or dynamic content can be time-consuming and challenging, requiring meticulous planning, design, and production. In the context of urban renewal and community revitalization, particularly in China’s first-tier cities where real estate development has saturated the market, there is a growing trend to repurpose traditional commercial and office spaces with cultural and artistic exhibitions. These exhibitions not only enhance the spatial quality but also elevate the user experience, making the spaces more competitive. However, these non-traditional exhibition venues often lack the amenities of professional galleries, relying on walls, windows, and corners for displays, and requiring quick setup times. For visitors, who are often office workers or shoppers with limited time, the use of personal mobile devices for interaction is common. WeChat, China’s most widely used mobile application, provides a platform for convenient digital interactive experiences through mini-programs, which can support lightweight AR applications. AI video generation technologies, such as Conditional Generative Adversarial Networks (ControlNet) and Latent Consistency Models (LCM), have seen significant advancements. These technologies now allow for the creation of 3D models and video content from text and images. Tools like Meshy and Pika provide the ability to generate various video styles and offer precise control over video content. New AI video applications like Stable Video further expand the possibilities by rapidly converting static images into dynamic videos, facilitating easy adjustments and edits. This paper explores the application of AR-based AI video generation technology in enhancing the experience of painting exhibitions. By integrating these technologies, traditional paintings can be transformed into interactive, engaging displays that enrich the viewer’s experience. The study demonstrates the potential of these innovations to make art exhibitions more appealing and competitive in various public spaces, thereby improving both artistic expression and audience engagement. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.},
keywords = {3D modeling, AI-generated art, Art and Technology, Arts computing, Augmented Reality, Augmented reality technology, Digital Exhibition Design, Dynamic content, E-Learning, Education computing, Generation technologies, Interactive computer graphics, Knowledge Management, Multi dimensional, Planning designs, Three dimensional computer graphics, Video contents, Video generation},
pubstate = {published},
tppubtype = {inproceedings}
}
Traditional painting exhibitions often rely on flat presentation methods, such as walls and stands, limiting their impact. Augmented Reality (AR) technology presents an opportunity to transform these experiences by turning static, flat artwork into dynamic, multi-dimensional presentations. However, creating and integrating video or dynamic content can be time-consuming and challenging, requiring meticulous planning, design, and production. In the context of urban renewal and community revitalization, particularly in China’s first-tier cities where real estate development has saturated the market, there is a growing trend to repurpose traditional commercial and office spaces with cultural and artistic exhibitions. These exhibitions not only enhance the spatial quality but also elevate the user experience, making the spaces more competitive. However, these non-traditional exhibition venues often lack the amenities of professional galleries, relying on walls, windows, and corners for displays, and requiring quick setup times. For visitors, who are often office workers or shoppers with limited time, the use of personal mobile devices for interaction is common. WeChat, China’s most widely used mobile application, provides a platform for convenient digital interactive experiences through mini-programs, which can support lightweight AR applications. AI video generation technologies, such as Conditional Generative Adversarial Networks (ControlNet) and Latent Consistency Models (LCM), have seen significant advancements. These technologies now allow for the creation of 3D models and video content from text and images. Tools like Meshy and Pika provide the ability to generate various video styles and offer precise control over video content. New AI video applications like Stable Video further expand the possibilities by rapidly converting static images into dynamic videos, facilitating easy adjustments and edits. This paper explores the application of AR-based AI video generation technology in enhancing the experience of painting exhibitions. By integrating these technologies, traditional paintings can be transformed into interactive, engaging displays that enrich the viewer’s experience. The study demonstrates the potential of these innovations to make art exhibitions more appealing and competitive in various public spaces, thereby improving both artistic expression and audience engagement. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Zhang, R.; Dong, Y.; Xiao, L.; Zou, P.; Wu, Q.
Emotion Synthesizer: An lmmersive XR Art Installation Integrating Real and Virtual Emotions Proceedings Article
In: Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW, pp. 1674–1675, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 979-833151484-6 (ISBN).
Abstract | Links | BibTeX | Tags: AI-generated art, Art installation, Digital reality, Emotion visualization, Emotional authenticity, Emotional experiences, Immersive art, Interactive visualizations, Through the lens, Visualization, XR art installation
@inproceedings{zhang_emotion_2025,
title = {Emotion Synthesizer: An lmmersive XR Art Installation Integrating Real and Virtual Emotions},
author = {R. Zhang and Y. Dong and L. Xiao and P. Zou and Q. Wu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005145325&doi=10.1109%2fVRW66409.2025.00482&partnerID=40&md5=7690155264b2819e4da2d374d8c12dc8},
doi = {10.1109/VRW66409.2025.00482},
isbn = {979-833151484-6 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW},
pages = {1674–1675},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {As technology increasingly mediates our emotional experiences, the boundaries between authentic feelings and digitally constructed states become increasingly fluid. Emotion Synthesizer is an immersive art installation that investigates this evolving emotional landscape through the lens of extended reality. The installation combines XR technology, interactive visualization, and AI-generated content to create an immersive environment where viewers can observe and interact with their emotional states. Through real-time interaction and visualization, the installation establishes a unique dialogue between real and virtual emotional experiences. This work raises critical questions about emotional authenticity, self-perception, and the impact of digital information on emotional experiences in the contemporary technological era. © 2025 IEEE.},
keywords = {AI-generated art, Art installation, Digital reality, Emotion visualization, Emotional authenticity, Emotional experiences, Immersive art, Interactive visualizations, Through the lens, Visualization, XR art installation},
pubstate = {published},
tppubtype = {inproceedings}
}
As technology increasingly mediates our emotional experiences, the boundaries between authentic feelings and digitally constructed states become increasingly fluid. Emotion Synthesizer is an immersive art installation that investigates this evolving emotional landscape through the lens of extended reality. The installation combines XR technology, interactive visualization, and AI-generated content to create an immersive environment where viewers can observe and interact with their emotional states. Through real-time interaction and visualization, the installation establishes a unique dialogue between real and virtual emotional experiences. This work raises critical questions about emotional authenticity, self-perception, and the impact of digital information on emotional experiences in the contemporary technological era. © 2025 IEEE.
2022
Wang, A.; Gao, Z.; Lee, L. H.; Braud, T.; Hui, P.
Decentralized, not Dehumanized in the Metaverse: Bringing Utility to NFTs through Multimodal Interaction Proceedings Article
In: ACM Int. Conf. Proc. Ser., pp. 662–667, Association for Computing Machinery, 2022, ISBN: 978-145039390-4 (ISBN).
Abstract | Links | BibTeX | Tags: AI-generated art, Arts computing, Behavioral Research, Computation theory, Continuum mechanics, Decentralised, Human behaviors, Interaction, Multi-modal, multimodal, Multimodal Interaction, NFTs, Non-fungible token, Text-to-image, The metaverse
@inproceedings{wang_decentralized_2022,
title = {Decentralized, not Dehumanized in the Metaverse: Bringing Utility to NFTs through Multimodal Interaction},
author = {A. Wang and Z. Gao and L. H. Lee and T. Braud and P. Hui},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142799074&doi=10.1145%2f3536221.3558176&partnerID=40&md5=f9dee1e9e60afc71c4533cbdee0b98a7},
doi = {10.1145/3536221.3558176},
isbn = {978-145039390-4 (ISBN)},
year = {2022},
date = {2022-01-01},
booktitle = {ACM Int. Conf. Proc. Ser.},
pages = {662–667},
publisher = {Association for Computing Machinery},
abstract = {User Interaction for NFTs (Non-fungible Tokens) is gaining increasing attention. Although NFTs have been traditionally single-use and monolithic, recent applications aim to connect multimodal interaction with human behavior. This paper reviews the related technological approaches and business practices in NFT art. We highlight that multimodal interaction is a currently under-studied issue in mainstream NFT art, and conjecture that multimodal interaction is a crucial enabler for decentralization in the NFT community. We present a continuum theory and propose a framework combining a bottom-up approach with AI multimodal process. Through this framework, we put forward integrating human behavior data into generative NFT units, as "multimodal interactive NFT."Our work displays the possibilities of NFTs in the art world, beyond the traditional 2D and 3D static content. © 2022 ACM.},
keywords = {AI-generated art, Arts computing, Behavioral Research, Computation theory, Continuum mechanics, Decentralised, Human behaviors, Interaction, Multi-modal, multimodal, Multimodal Interaction, NFTs, Non-fungible token, Text-to-image, The metaverse},
pubstate = {published},
tppubtype = {inproceedings}
}
User Interaction for NFTs (Non-fungible Tokens) is gaining increasing attention. Although NFTs have been traditionally single-use and monolithic, recent applications aim to connect multimodal interaction with human behavior. This paper reviews the related technological approaches and business practices in NFT art. We highlight that multimodal interaction is a currently under-studied issue in mainstream NFT art, and conjecture that multimodal interaction is a crucial enabler for decentralization in the NFT community. We present a continuum theory and propose a framework combining a bottom-up approach with AI multimodal process. Through this framework, we put forward integrating human behavior data into generative NFT units, as "multimodal interactive NFT."Our work displays the possibilities of NFTs in the art world, beyond the traditional 2D and 3D static content. © 2022 ACM.