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
Lopes, M. K. S.; Falk, T. H.
Generative AI for Personalized Multisensory Immersive Experiences: Challenges and Opportunities for Stress Reduction Proceedings Article
In: Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW, pp. 143–146, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331514846 (ISBN).
Abstract | Links | BibTeX | Tags: Artificial intelligence tools, Environment personalization, Forest bathing, Generative AI, Immersive, Multi-Sensory, Multi-sensory virtual reality, Multisensory, Personalizations, Relaxation, Virtual Reality, Virtualization
@inproceedings{lopes_generative_2025,
title = {Generative AI for Personalized Multisensory Immersive Experiences: Challenges and Opportunities for Stress Reduction},
author = {M. K. S. Lopes and T. H. Falk},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005149501&doi=10.1109%2FVRW66409.2025.00036&partnerID=40&md5=9507cf2dcec341c434e08e8b6f92bfda},
doi = {10.1109/VRW66409.2025.00036},
isbn = {9798331514846 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW},
pages = {143–146},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Stress management and relaxation are critical areas of interest in mental health and well-being. Forest bathing is a practice that has been shown to have a positive effect on reducing stress by stimulating all the senses in an immersive nature experience. Since access to nature is not universally available to everyone, virtual reality has emerged as a promising tool to simulate this type of experience. Furthermore, generative artificial intelligence (GenAI) tools offer new opportunities to create highly personalized and immersive experiences that can enhance relaxation and reduce stress. This study explores the potential of personalized multisensory VR environments, designed using GenAI tools, to optimize relaxation and stress relief via two experiments that are currently underway. The first evaluates the effectiveness of non-personalized versus personalized VR scenes generated using AI tools to promote increased relaxation. The second explores the potential benefits of providing the user with additional personalization tools, from adding new virtual elements to the AI-generated scene, to adding AI-generated sounds and scent/haptics customization. Ultimately, this research aims to identify which customizable elements may lead to improved therapeutic benefits for multisensory VR experiences. © 2025 Elsevier B.V., All rights reserved.},
keywords = {Artificial intelligence tools, Environment personalization, Forest bathing, Generative AI, Immersive, Multi-Sensory, Multi-sensory virtual reality, Multisensory, Personalizations, Relaxation, Virtual Reality, Virtualization},
pubstate = {published},
tppubtype = {inproceedings}
}
Stress management and relaxation are critical areas of interest in mental health and well-being. Forest bathing is a practice that has been shown to have a positive effect on reducing stress by stimulating all the senses in an immersive nature experience. Since access to nature is not universally available to everyone, virtual reality has emerged as a promising tool to simulate this type of experience. Furthermore, generative artificial intelligence (GenAI) tools offer new opportunities to create highly personalized and immersive experiences that can enhance relaxation and reduce stress. This study explores the potential of personalized multisensory VR environments, designed using GenAI tools, to optimize relaxation and stress relief via two experiments that are currently underway. The first evaluates the effectiveness of non-personalized versus personalized VR scenes generated using AI tools to promote increased relaxation. The second explores the potential benefits of providing the user with additional personalization tools, from adding new virtual elements to the AI-generated scene, to adding AI-generated sounds and scent/haptics customization. Ultimately, this research aims to identify which customizable elements may lead to improved therapeutic benefits for multisensory VR experiences. © 2025 Elsevier B.V., All rights reserved.
Qian, P.; Redondo, C. V.; Wang, N.; Udora, C.; Men, J.; TAFAZOLLI, R.
Enabling Generative AI based Multi-sensory XR Applications with Mobile Edge Computing Proceedings Article
In: Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331543709 (ISBN).
Abstract | Links | BibTeX | Tags: Bandwidth, Edge computing, End-Users, Extended reality (XR), Generative AI, Gigabits per second, Holographic Application, Holographic applications, Holography, Interactive applications, Mobile edge computing, Mobile systems, Mobile telecommunication systems, Multi-Sensory, Network architecture, Real- time, Semantic Web, Semantics
@inproceedings{qian_enabling_2025,
title = {Enabling Generative AI based Multi-sensory XR Applications with Mobile Edge Computing},
author = {P. Qian and C. V. Redondo and N. Wang and C. Udora and J. Men and R. TAFAZOLLI},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017962639&doi=10.1109%2FINFOCOMWKSHPS65812.2025.11152969&partnerID=40&md5=67f9f0030079cb49d844e01abc0d5971},
doi = {10.1109/INFOCOMWKSHPS65812.2025.11152969},
isbn = {9798331543709 (ISBN)},
year = {2025},
date = {2025-01-01},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {With the rapid development of XR devices, holographic applications are expanding across various domains. However, it is a consensus that capturing and transmitting real-time holographic content still requires significant bandwidth. Even with the enhanced wireless capabilities of mobile systems, they still fall short of meeting the bandwidth and latency demands required for near-Gigabit per second interactive application scenarios. This paper proposes a network architecture that leverages MEC to address these challenges with the assistant of Generative AI. In this framework, the MEC server can leverage the power of the generative AI model to generate holographic objects with the input of user semantic commands, instead of requiring end-users to capture and transmit large raw holographic data. This approach significantly reduces uplink bandwidth requirements while enabling efficient real-time content generation. To validate this approach, we design an interactive and multisensory operational training scenario relying solely on semantic uplink transmissions from the end-users. The preliminary results based on the testbed implemented highlight the feasibility of deploying diverse holographic applications in wireless environments. © 2025 Elsevier B.V., All rights reserved.},
keywords = {Bandwidth, Edge computing, End-Users, Extended reality (XR), Generative AI, Gigabits per second, Holographic Application, Holographic applications, Holography, Interactive applications, Mobile edge computing, Mobile systems, Mobile telecommunication systems, Multi-Sensory, Network architecture, Real- time, Semantic Web, Semantics},
pubstate = {published},
tppubtype = {inproceedings}
}
With the rapid development of XR devices, holographic applications are expanding across various domains. However, it is a consensus that capturing and transmitting real-time holographic content still requires significant bandwidth. Even with the enhanced wireless capabilities of mobile systems, they still fall short of meeting the bandwidth and latency demands required for near-Gigabit per second interactive application scenarios. This paper proposes a network architecture that leverages MEC to address these challenges with the assistant of Generative AI. In this framework, the MEC server can leverage the power of the generative AI model to generate holographic objects with the input of user semantic commands, instead of requiring end-users to capture and transmit large raw holographic data. This approach significantly reduces uplink bandwidth requirements while enabling efficient real-time content generation. To validate this approach, we design an interactive and multisensory operational training scenario relying solely on semantic uplink transmissions from the end-users. The preliminary results based on the testbed implemented highlight the feasibility of deploying diverse holographic applications in wireless environments. © 2025 Elsevier B.V., All rights reserved.