AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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Here you can find the complete list of our publications.
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You can expand the Abstract, Links and BibTex record for each paper.
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
Qian, Y.; Siau, K. L.
IoT in Sustainability and IoT in the AI and Metaverse Age Journal Article
In: IEEE Internet of Things Magazine, vol. 8, no. 3, pp. 92–98, 2025, ISSN: 25763180 (ISSN).
Abstract | Links | BibTeX | Tags: Energy, Energy systems, Environmental sustainability, Existing energies, Heterogeneous devices, Metaverses, Modern technologies, Renewable technology
@article{qian_iot_2025,
title = {IoT in Sustainability and IoT in the AI and Metaverse Age},
author = {Y. Qian and K. L. Siau},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004261858&doi=10.1109%2fIOTM.001.2400179&partnerID=40&md5=fec6f878a2d8eab9111df2dbda35df9c},
doi = {10.1109/IOTM.001.2400179},
issn = {25763180 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {IEEE Internet of Things Magazine},
volume = {8},
number = {3},
pages = {92–98},
abstract = {The Internet of Things (IoT) is a modern technology that has gained large popularity and is still developing. Connecting heterogeneous devices, such as phones, vehicles, and household appliances, IoT has brought convenience to our lives. Further, IoT plays a significant role in enhancing environmental sustainability. It provides timely data about different devices and enables users and managers to directly control the objects. IoT can optimize the existing energy systems and promote the usage of renewable technologies. In this article, we discuss how IoT supports green initiatives (i.e., how it is applied in different sectors), how it can be “green” itself (i.e., from both the technical and managerial perspectives), and future directions of the advancement of IoT (e.g., IoT in the AI and Metaverse age). Specifically, we explain how IoT enhances environmental sustainability in different sectors, including energy, agriculture, smart cities, and transportation. We also show how IoT can be green itself through technical and managerial approaches. Further, we discuss how IoT can be integrated with AI, such as Generative AI, Agentic AI, and the Metaverse, to enhance impacts. Clearly, IoT has the potential to be further developed and make an even greater contribution to environmental sustainability. © 2018 IEEE.},
keywords = {Energy, Energy systems, Environmental sustainability, Existing energies, Heterogeneous devices, Metaverses, Modern technologies, Renewable technology},
pubstate = {published},
tppubtype = {article}
}
The Internet of Things (IoT) is a modern technology that has gained large popularity and is still developing. Connecting heterogeneous devices, such as phones, vehicles, and household appliances, IoT has brought convenience to our lives. Further, IoT plays a significant role in enhancing environmental sustainability. It provides timely data about different devices and enables users and managers to directly control the objects. IoT can optimize the existing energy systems and promote the usage of renewable technologies. In this article, we discuss how IoT supports green initiatives (i.e., how it is applied in different sectors), how it can be “green” itself (i.e., from both the technical and managerial perspectives), and future directions of the advancement of IoT (e.g., IoT in the AI and Metaverse age). Specifically, we explain how IoT enhances environmental sustainability in different sectors, including energy, agriculture, smart cities, and transportation. We also show how IoT can be green itself through technical and managerial approaches. Further, we discuss how IoT can be integrated with AI, such as Generative AI, Agentic AI, and the Metaverse, to enhance impacts. Clearly, IoT has the potential to be further developed and make an even greater contribution to environmental sustainability. © 2018 IEEE.
2024
Vallasciani, G.; Stacchio, L.; Cascarano, P.; Marfia, G.
CreAIXR: Fostering Creativity with Generative AI in XR environments Proceedings Article
In: Proc. - IEEE Int. Conf. Metaverse Comput., Netw., Appl., MetaCom, pp. 1–8, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-833151599-7 (ISBN).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Creative thinking, Creatives, Creativity, Extended reality, Generative adversarial networks, generative artificial intelligence, Immersive, Modern technologies, Research questions, Stable Diffusion, Web technologies
@inproceedings{vallasciani_creaixr_2024,
title = {CreAIXR: Fostering Creativity with Generative AI in XR environments},
author = {G. Vallasciani and L. Stacchio and P. Cascarano and G. Marfia},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211481990&doi=10.1109%2fMetaCom62920.2024.00034&partnerID=40&md5=002e25a2d4ddb170e21029b27c157b28},
doi = {10.1109/MetaCom62920.2024.00034},
isbn = {979-833151599-7 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE Int. Conf. Metaverse Comput., Netw., Appl., MetaCom},
pages = {1–8},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Fostering creativity is paramount for cultivating innovative minds capable of addressing complex challenges. Modern technologies like eXtended Reality (XR) and Artificial Intelligence (AI) may nurture grounds supporting creative thinking by providing immersive and manipulable environments. An open research question is how such technologies may best lead to such a possible result. To help move one step closer to an answer, we present a portable XR platform, namely CreAIXR, where objects may be creatively defined and manipulated with AI paradigms. CreAIXR leverages web technologies, XR, and generative AI where creatives are immersed in a composable experience, allowing them to collaborate and customize an immersive environment through XR paradigms and generative AI. We here describe this system along with its validation through experiments carried out with a group of individuals having a background in the field of visual arts. © 2024 IEEE.},
keywords = {Artificial intelligence, Creative thinking, Creatives, Creativity, Extended reality, Generative adversarial networks, generative artificial intelligence, Immersive, Modern technologies, Research questions, Stable Diffusion, Web technologies},
pubstate = {published},
tppubtype = {inproceedings}
}
Fostering creativity is paramount for cultivating innovative minds capable of addressing complex challenges. Modern technologies like eXtended Reality (XR) and Artificial Intelligence (AI) may nurture grounds supporting creative thinking by providing immersive and manipulable environments. An open research question is how such technologies may best lead to such a possible result. To help move one step closer to an answer, we present a portable XR platform, namely CreAIXR, where objects may be creatively defined and manipulated with AI paradigms. CreAIXR leverages web technologies, XR, and generative AI where creatives are immersed in a composable experience, allowing them to collaborate and customize an immersive environment through XR paradigms and generative AI. We here describe this system along with its validation through experiments carried out with a group of individuals having a background in the field of visual arts. © 2024 IEEE.
Christiansen, F. R.; Hollensberg, L. Nø.; Jensen, N. B.; Julsgaard, K.; Jespersen, K. N.; Nikolov, I.
Exploring Presence in Interactions with LLM-Driven NPCs: A Comparative Study of Speech Recognition and Dialogue Options Proceedings Article
In: S.N., Spencer (Ed.): Proc. ACM Symp. Virtual Reality Softw. Technol. VRST, Association for Computing Machinery, 2024, ISBN: 979-840070535-9 (ISBN).
Abstract | Links | BibTeX | Tags: Comparatives studies, Computer simulation languages, Economic and social effects, Immersive System, Immersive systems, Language Model, Large language model, Large language models (LLM), Model-driven, Modern technologies, Non-playable character, NPC, Presence, Social Actors, Speech enhancement, Speech recognition, Text to speech, Virtual environments, Virtual Reality, VR
@inproceedings{christiansen_exploring_2024,
title = {Exploring Presence in Interactions with LLM-Driven NPCs: A Comparative Study of Speech Recognition and Dialogue Options},
author = {F. R. Christiansen and L. Nø. Hollensberg and N. B. Jensen and K. Julsgaard and K. N. Jespersen and I. Nikolov},
editor = {Spencer S.N.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212512351&doi=10.1145%2f3641825.3687716&partnerID=40&md5=56ec6982b399fd97196ea73e7c659c31},
doi = {10.1145/3641825.3687716},
isbn = {979-840070535-9 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. ACM Symp. Virtual Reality Softw. Technol. VRST},
publisher = {Association for Computing Machinery},
abstract = {Combining modern technologies like large-language models (LLMs), speech-to-text, and text-to-speech can enhance immersion in virtual reality (VR) environments. However, challenges exist in effectively implementing LLMs and educating users. This paper explores implementing LLM-powered virtual social actors and facilitating user communication. We developed a murder mystery game where users interact with LLM-based non-playable characters (NPCs) through interrogation, clue-gathering, and exploration. Two versions were tested: one using speech recognition and another with traditional dialog boxes. While both provided similar social presence, users felt more immersed with speech recognition but found it overwhelming, while the dialog version was more challenging. Slow NPC response times were a source of frustration, highlighting the need for faster generation or better masking for a seamless experience. © 2024 Owner/Author.},
keywords = {Comparatives studies, Computer simulation languages, Economic and social effects, Immersive System, Immersive systems, Language Model, Large language model, Large language models (LLM), Model-driven, Modern technologies, Non-playable character, NPC, Presence, Social Actors, Speech enhancement, Speech recognition, Text to speech, Virtual environments, Virtual Reality, VR},
pubstate = {published},
tppubtype = {inproceedings}
}
Combining modern technologies like large-language models (LLMs), speech-to-text, and text-to-speech can enhance immersion in virtual reality (VR) environments. However, challenges exist in effectively implementing LLMs and educating users. This paper explores implementing LLM-powered virtual social actors and facilitating user communication. We developed a murder mystery game where users interact with LLM-based non-playable characters (NPCs) through interrogation, clue-gathering, and exploration. Two versions were tested: one using speech recognition and another with traditional dialog boxes. While both provided similar social presence, users felt more immersed with speech recognition but found it overwhelming, while the dialog version was more challenging. Slow NPC response times were a source of frustration, highlighting the need for faster generation or better masking for a seamless experience. © 2024 Owner/Author.