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 expand the Abstract, Links and BibTex record for each paper.
2025
Shibuya, K.
Transforming phenomenological sociology for virtual personalities and virtual worlds Journal Article
In: AI and Society, vol. 40, no. 5, pp. 3317–3331, 2025, ISSN: 09515666 (ISSN).
Abstract | Links | BibTeX | Tags: Advanced technology, Economic and social effects, Generative adversarial networks, Generative AI, Human being, Identity, Intersubjectivity, Metadata, Phenomenological Sociology, Sociology, Technological innovation, Virtual environments, Virtual Personality, Virtual Reality, Virtual worlds, Virtualization, Virtualizations
@article{shibuya_transforming_2025,
title = {Transforming phenomenological sociology for virtual personalities and virtual worlds},
author = {K. Shibuya},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217199972&doi=10.1007%2fs00146-025-02189-x&partnerID=40&md5=aa9db1cb1f99419b605f1091469eb77c},
doi = {10.1007/s00146-025-02189-x},
issn = {09515666 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {AI and Society},
volume = {40},
number = {5},
pages = {3317–3331},
abstract = {Are there opportunities to use the plural to express the first person (“I”) of “the same person” in English? It means that the self is an entity that guarantees uniqueness and is at the core of identity. Recently, radical and rapid innovations in AI technologies have made it possible to alter our existential fundamentals. Principally, we are now interacting with “virtual personalities” generated by generative AI. Thus, there is an inevitability to explore the relationship between AI and society, and the problem domain of phenomenological sociology related to the “virtuality” of personalities and the world. Encountering and interacting with “others without subject” artificially generated by generative AI based on individual big data and attribute data is a situation that mankind has never experienced before from the perspective of sociology and phenomenological sociology related to the ego. The virtual personalities can be perceived as if it were interacting with existing humans in the form of video and audio, and it is also possible to arbitrarily change their attributes (e.g., gender, race, age, physical characteristics) and other settings, as well as to virtually create deceased persons or great figures from the past. Such technological innovation is, so to speak, a virtualization of human existential identity, and advanced technologies such as AI will transform not only the boundary between self and others but also the aspect of human existence itself (Shibuya in Digital transformation of identity in the age of artificial intelligence. Springer, Belrin, 2020). In addition, from a phenomenological viewpoint, the boundary between reality and virtuality is blurring due to technological innovation in the living world itself, and there is a concern that this will lead to an artificial state of detachment. Actually, the use of advanced technologies such as AI, VR in virtual worlds and cyberspace will not only cause people to lose their reality and actuality but will also endanger the very foundations of their existential identity. Therefore, we must ask what it means for us as existences to interact with virtual personalities in a virtually generated world, and what is the nature of the intersubjectivity formation and semantic understanding as well as the modes of existence, facts, and worlds, and what are their evidential natures. In line with what Husserl, the founder of phenomenology, once declared at the beginning of his “Cartesianische Meditationen” (Husserl in CartesianischeMeditationen, e-artnow, 2018), that “we need to begin philosophy radically anew”, as also phenomenological sociology, it can now state that “we need to begin phenomenological sociology radically anew”. Then, this paper reviews and discusses the following issues based on technological trends. Is there an intersubjectivity between the virtual personalities generated by the AI and the human being? How does the virtualization of identity, as well as the difference between self and others, transform the nature of existence? How is a mutual semantic understanding possible between a human being and the virtual personality that is generated by a generative AI and a generative AI? How can we verify discourses and propositions of fact and worldliness in our interactions with generative AIs, and how can we overcome the illusion (i.e., hallucination) that generative AIs create? What does the transformation of the world and its aspect as existence mean? How is it possible to collaborate between a human being and the virtual personality that is generated by a generative AI and a generative AI? © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.},
keywords = {Advanced technology, Economic and social effects, Generative adversarial networks, Generative AI, Human being, Identity, Intersubjectivity, Metadata, Phenomenological Sociology, Sociology, Technological innovation, Virtual environments, Virtual Personality, Virtual Reality, Virtual worlds, Virtualization, Virtualizations},
pubstate = {published},
tppubtype = {article}
}
Are there opportunities to use the plural to express the first person (“I”) of “the same person” in English? It means that the self is an entity that guarantees uniqueness and is at the core of identity. Recently, radical and rapid innovations in AI technologies have made it possible to alter our existential fundamentals. Principally, we are now interacting with “virtual personalities” generated by generative AI. Thus, there is an inevitability to explore the relationship between AI and society, and the problem domain of phenomenological sociology related to the “virtuality” of personalities and the world. Encountering and interacting with “others without subject” artificially generated by generative AI based on individual big data and attribute data is a situation that mankind has never experienced before from the perspective of sociology and phenomenological sociology related to the ego. The virtual personalities can be perceived as if it were interacting with existing humans in the form of video and audio, and it is also possible to arbitrarily change their attributes (e.g., gender, race, age, physical characteristics) and other settings, as well as to virtually create deceased persons or great figures from the past. Such technological innovation is, so to speak, a virtualization of human existential identity, and advanced technologies such as AI will transform not only the boundary between self and others but also the aspect of human existence itself (Shibuya in Digital transformation of identity in the age of artificial intelligence. Springer, Belrin, 2020). In addition, from a phenomenological viewpoint, the boundary between reality and virtuality is blurring due to technological innovation in the living world itself, and there is a concern that this will lead to an artificial state of detachment. Actually, the use of advanced technologies such as AI, VR in virtual worlds and cyberspace will not only cause people to lose their reality and actuality but will also endanger the very foundations of their existential identity. Therefore, we must ask what it means for us as existences to interact with virtual personalities in a virtually generated world, and what is the nature of the intersubjectivity formation and semantic understanding as well as the modes of existence, facts, and worlds, and what are their evidential natures. In line with what Husserl, the founder of phenomenology, once declared at the beginning of his “Cartesianische Meditationen” (Husserl in CartesianischeMeditationen, e-artnow, 2018), that “we need to begin philosophy radically anew”, as also phenomenological sociology, it can now state that “we need to begin phenomenological sociology radically anew”. Then, this paper reviews and discusses the following issues based on technological trends. Is there an intersubjectivity between the virtual personalities generated by the AI and the human being? How does the virtualization of identity, as well as the difference between self and others, transform the nature of existence? How is a mutual semantic understanding possible between a human being and the virtual personality that is generated by a generative AI and a generative AI? How can we verify discourses and propositions of fact and worldliness in our interactions with generative AIs, and how can we overcome the illusion (i.e., hallucination) that generative AIs create? What does the transformation of the world and its aspect as existence mean? How is it possible to collaborate between a human being and the virtual personality that is generated by a generative AI and a generative AI? © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.
2024
Gottsacker, M.; Bruder, G.; Welch, G. F.
rlty2rlty: Transitioning Between Realities with Generative AI Proceedings Article
In: Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW, pp. 1160–1161, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037449-0 (ISBN).
Abstract | Links | BibTeX | Tags: Human computer interaction, Human computer interaction (HCI), Human-centered computing, Interaction paradigm, Interaction paradigms, Interactive computer graphics, Liminal spaces, Mixed / augmented reality, Mixed reality, Real environments, System use, User interfaces, Virtual worlds
@inproceedings{gottsacker_rlty2rlty_2024,
title = {rlty2rlty: Transitioning Between Realities with Generative AI},
author = {M. Gottsacker and G. Bruder and G. F. Welch},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195556960&doi=10.1109%2fVRW62533.2024.00374&partnerID=40&md5=c6291f48ce2135a795a0a2d34681b83d},
doi = {10.1109/VRW62533.2024.00374},
isbn = {979-835037449-0 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW},
pages = {1160–1161},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {We present a system for visually transitioning a mixed reality (MR) user between two arbitrary realities (e.g., between two virtual worlds or between the real environment and a virtual world). The system uses artificial intelligence (AI) to generate a 360° video that transforms the user's starting environment to another environment, passing through a liminal space that could help them relax between tasks or prepare them for the ending environment. The video can then be viewed on an MR headset. © 2024 IEEE.},
keywords = {Human computer interaction, Human computer interaction (HCI), Human-centered computing, Interaction paradigm, Interaction paradigms, Interactive computer graphics, Liminal spaces, Mixed / augmented reality, Mixed reality, Real environments, System use, User interfaces, Virtual worlds},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a system for visually transitioning a mixed reality (MR) user between two arbitrary realities (e.g., between two virtual worlds or between the real environment and a virtual world). The system uses artificial intelligence (AI) to generate a 360° video that transforms the user's starting environment to another environment, passing through a liminal space that could help them relax between tasks or prepare them for the ending environment. The video can then be viewed on an MR headset. © 2024 IEEE.
Pester, A.; Tammaa, A.; Gütl, C.; Steinmaurer, A.; El-Seoud, S. A.
Conversational Agents, Virtual Worlds, and Beyond: A Review of Large Language Models Enabling Immersive Learning Proceedings Article
In: IEEE Global Eng. Edu. Conf., EDUCON, IEEE Computer Society, 2024, ISBN: 21659559 (ISSN); 979-835039402-3 (ISBN).
Abstract | Links | BibTeX | Tags: Computational Linguistics, Computer aided instruction, Conversational Agents, Education, Immersive learning, Language Model, Large language model, Learning systems, Literature reviews, LLM, Metaverse, Metaverses, Natural language processing systems, Pedagogy, Survey literature review, Virtual Reality, Virtual worlds
@inproceedings{pester_conversational_2024,
title = {Conversational Agents, Virtual Worlds, and Beyond: A Review of Large Language Models Enabling Immersive Learning},
author = {A. Pester and A. Tammaa and C. Gütl and A. Steinmaurer and S. A. El-Seoud},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199068668&doi=10.1109%2fEDUCON60312.2024.10578895&partnerID=40&md5=1b904fd8a5e06d7ced42a328c028bbb7},
doi = {10.1109/EDUCON60312.2024.10578895},
isbn = {21659559 (ISSN); 979-835039402-3 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {IEEE Global Eng. Edu. Conf., EDUCON},
publisher = {IEEE Computer Society},
abstract = {Large Language Models represent a significant breakthrough in Natural Language Processing research and opened a wide range of application domains. This paper demonstrates the successful integration of Large Language Models into immersive learning environments. The review highlights how this emerging technology aligns with pedagogical principles, enhancing the effectiveness of current educational systems. It also reflects recent advancements in integrating Large Language Models, including fine-tuning, hallucination reduction, fact-checking, and human evaluation of generated results. © 2024 IEEE.},
keywords = {Computational Linguistics, Computer aided instruction, Conversational Agents, Education, Immersive learning, Language Model, Large language model, Learning systems, Literature reviews, LLM, Metaverse, Metaverses, Natural language processing systems, Pedagogy, Survey literature review, Virtual Reality, Virtual worlds},
pubstate = {published},
tppubtype = {inproceedings}
}
Large Language Models represent a significant breakthrough in Natural Language Processing research and opened a wide range of application domains. This paper demonstrates the successful integration of Large Language Models into immersive learning environments. The review highlights how this emerging technology aligns with pedagogical principles, enhancing the effectiveness of current educational systems. It also reflects recent advancements in integrating Large Language Models, including fine-tuning, hallucination reduction, fact-checking, and human evaluation of generated results. © 2024 IEEE.
Du, B.; Du, H.; Liu, H.; Niyato, D.; Xin, P.; Yu, J.; Qi, M.; Tang, Y.
YOLO-Based Semantic Communication with Generative AI-Aided Resource Allocation for Digital Twins Construction Journal Article
In: IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7664–7678, 2024, ISSN: 23274662 (ISSN).
Abstract | Links | BibTeX | Tags: Cost reduction, Data transfer, Digital Twins, Edge detection, Image edge detection, Network layers, Object Detection, Object detectors, Objects detection, Physical world, Resource allocation, Resource management, Resources allocation, Semantic communication, Semantics, Semantics Information, Virtual Reality, Virtual worlds, Wireless communications
@article{du_yolo-based_2024,
title = {YOLO-Based Semantic Communication with Generative AI-Aided Resource Allocation for Digital Twins Construction},
author = {B. Du and H. Du and H. Liu and D. Niyato and P. Xin and J. Yu and M. Qi and Y. Tang},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173060990&doi=10.1109%2fJIOT.2023.3317629&partnerID=40&md5=60507e2f6ce2b1c345248867a9c527a1},
doi = {10.1109/JIOT.2023.3317629},
issn = {23274662 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {IEEE Internet of Things Journal},
volume = {11},
number = {5},
pages = {7664–7678},
abstract = {Digital Twins play a crucial role in bridging the physical and virtual worlds. Given the dynamic and evolving characteristics of the physical world, a huge volume of data transmission and exchange is necessary to attain synchronized updates in the virtual world. In this article, we propose a semantic communication framework based on you only look once (YOLO) to construct a virtual apple orchard with the aim of mitigating the costs associated with data transmission. Specifically, we first employ the YOLOv7-X object detector to extract semantic information from captured images of edge devices, thereby reducing the volume of transmitted data and saving transmission costs. Afterwards, we quantify the importance of each semantic information by the confidence generated through the object detector. Based on this, we propose two resource allocation schemes, i.e., the confidence-based scheme and the acrlong AI-generated scheme, aimed at enhancing the transmission quality of important semantic information. The proposed diffusion model generates an optimal allocation scheme that outperforms both the average allocation scheme and the confidence-based allocation scheme. Moreover, to obtain semantic information more effectively, we enhance the detection capability of the YOLOv7-X object detector by introducing new efficient layer aggregation network-horNet (ELAN-H) and SimAM attention modules, while reducing the model parameters and computational complexity, making it easier to run on edge devices with limited performance. The numerical results indicate that our proposed semantic communication framework and resource allocation schemes significantly reduce transmission costs while enhancing the transmission quality of important information in communication services. © 2014 IEEE.},
keywords = {Cost reduction, Data transfer, Digital Twins, Edge detection, Image edge detection, Network layers, Object Detection, Object detectors, Objects detection, Physical world, Resource allocation, Resource management, Resources allocation, Semantic communication, Semantics, Semantics Information, Virtual Reality, Virtual worlds, Wireless communications},
pubstate = {published},
tppubtype = {article}
}
Digital Twins play a crucial role in bridging the physical and virtual worlds. Given the dynamic and evolving characteristics of the physical world, a huge volume of data transmission and exchange is necessary to attain synchronized updates in the virtual world. In this article, we propose a semantic communication framework based on you only look once (YOLO) to construct a virtual apple orchard with the aim of mitigating the costs associated with data transmission. Specifically, we first employ the YOLOv7-X object detector to extract semantic information from captured images of edge devices, thereby reducing the volume of transmitted data and saving transmission costs. Afterwards, we quantify the importance of each semantic information by the confidence generated through the object detector. Based on this, we propose two resource allocation schemes, i.e., the confidence-based scheme and the acrlong AI-generated scheme, aimed at enhancing the transmission quality of important semantic information. The proposed diffusion model generates an optimal allocation scheme that outperforms both the average allocation scheme and the confidence-based allocation scheme. Moreover, to obtain semantic information more effectively, we enhance the detection capability of the YOLOv7-X object detector by introducing new efficient layer aggregation network-horNet (ELAN-H) and SimAM attention modules, while reducing the model parameters and computational complexity, making it easier to run on edge devices with limited performance. The numerical results indicate that our proposed semantic communication framework and resource allocation schemes significantly reduce transmission costs while enhancing the transmission quality of important information in communication services. © 2014 IEEE.
Hart, A.; Shakir, M. Z.
Realtime AI Driven Environment Development for Virtual Metaverse Proceedings Article
In: IEEE Int. Conf. Metrol. Ext. Real., Artif. Intell. Neural Eng., MetroXRAINE - Proc., pp. 313–318, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037800-9 (ISBN).
Abstract | Links | BibTeX | Tags: 3D modeling, 3D models, 3d-modeling, AI in Metaverse Development, Artificial intelligence in metaverse development, Digital elevation model, Digital Innovation, Digital innovations, Metaverses, Real- time, Real-Time Adaptation, Scalable virtual world, Scalable Virtual Worlds, Unity Integration, Virtual environments, Virtual worlds
@inproceedings{hart_realtime_2024,
title = {Realtime AI Driven Environment Development for Virtual Metaverse},
author = {A. Hart and M. Z. Shakir},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216090810&doi=10.1109%2fMetroXRAINE62247.2024.10796022&partnerID=40&md5=e339d3117291e480231b7bc32f117506},
doi = {10.1109/MetroXRAINE62247.2024.10796022},
isbn = {979-835037800-9 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {IEEE Int. Conf. Metrol. Ext. Real., Artif. Intell. Neural Eng., MetroXRAINE - Proc.},
pages = {313–318},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The integration of Artificial Intelligence (AI) into the development of Metaverse environments denotes a noteworthy shift towards crafting virtual spaces with improved interactivity, immersion, and realism. This study looks to delve into the various roles AI plays in using 3D models, enriching experiences in virtual and augmented reality, to create scalable, dynamic virtual environments. It carefully examines the challenges related to computational demands, such as processing power and data storage, scalability issues, and ethical considerations concerning privacy and the misuse of AI -generated content. By exploring AI's application in game engine platforms such as Unity through research ongoing, this paper highlights the technical achievements and ever growing possibilities unlocked by AI, such as creating lifelike virtual environments. © 2024 IEEE.},
keywords = {3D modeling, 3D models, 3d-modeling, AI in Metaverse Development, Artificial intelligence in metaverse development, Digital elevation model, Digital Innovation, Digital innovations, Metaverses, Real- time, Real-Time Adaptation, Scalable virtual world, Scalable Virtual Worlds, Unity Integration, Virtual environments, Virtual worlds},
pubstate = {published},
tppubtype = {inproceedings}
}
The integration of Artificial Intelligence (AI) into the development of Metaverse environments denotes a noteworthy shift towards crafting virtual spaces with improved interactivity, immersion, and realism. This study looks to delve into the various roles AI plays in using 3D models, enriching experiences in virtual and augmented reality, to create scalable, dynamic virtual environments. It carefully examines the challenges related to computational demands, such as processing power and data storage, scalability issues, and ethical considerations concerning privacy and the misuse of AI -generated content. By exploring AI's application in game engine platforms such as Unity through research ongoing, this paper highlights the technical achievements and ever growing possibilities unlocked by AI, such as creating lifelike virtual environments. © 2024 IEEE.
Paweroi, R. M.; Koppen, M.
Framework for Integration of Generative AI into Metaverse Asset Creation Proceedings Article
In: Int. Conf. Intell. Metaverse Technol. Appl., iMETA, pp. 27–33, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835035151-4 (ISBN).
Abstract | Links | BibTeX | Tags: 3D Asset Creation, 3D Asset Diversity, 3D models, 3d-modeling, Digital assets, Digital Objects, Generative adversarial networks, Generative AI, High quality, Metaverse, Metaverses, Virtual worlds
@inproceedings{paweroi_framework_2024,
title = {Framework for Integration of Generative AI into Metaverse Asset Creation},
author = {R. M. Paweroi and M. Koppen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216024340&doi=10.1109%2fiMETA62882.2024.10808057&partnerID=40&md5=00373291c3d224b53759dc39ed9fd65c},
doi = {10.1109/iMETA62882.2024.10808057},
isbn = {979-835035151-4 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Int. Conf. Intell. Metaverse Technol. Appl., iMETA},
pages = {27–33},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Metaverse, a virtual world, is developing rapidly and is widely used in multi-sector. The number of users is projected to increase year over year. Due to the development of the metaverse platform, digital asset creation is demanding. Creating high-quality and diverse 3D digital objects is challenging. This study proposes the frameworks for integrating generative AI to create diverse 3D assets into the metaverse. We study different approaches for asset creation, i.e., generative 3D model-based, generative image projection-based, and generative language script-based. Creators can use this workflow to optimize the creation of 3D assets. Moreover, this study compares the results of generative AI and procedural generation on generating diverse 3D objects. The result shows that generative AI can simplify 3D creation and generate more diverse objects. © 2024 IEEE.},
keywords = {3D Asset Creation, 3D Asset Diversity, 3D models, 3d-modeling, Digital assets, Digital Objects, Generative adversarial networks, Generative AI, High quality, Metaverse, Metaverses, Virtual worlds},
pubstate = {published},
tppubtype = {inproceedings}
}
Metaverse, a virtual world, is developing rapidly and is widely used in multi-sector. The number of users is projected to increase year over year. Due to the development of the metaverse platform, digital asset creation is demanding. Creating high-quality and diverse 3D digital objects is challenging. This study proposes the frameworks for integrating generative AI to create diverse 3D assets into the metaverse. We study different approaches for asset creation, i.e., generative 3D model-based, generative image projection-based, and generative language script-based. Creators can use this workflow to optimize the creation of 3D assets. Moreover, this study compares the results of generative AI and procedural generation on generating diverse 3D objects. The result shows that generative AI can simplify 3D creation and generate more diverse objects. © 2024 IEEE.
2023
Friess, P.
THE_OTHERVERSE - A Contemporary Cabinet Of Curiosities Proceedings Article
In: D., Byrne; N., Martelaro (Ed.): DIS Companion: Companion Publ. ACM Des Interact. Syst. Conf., pp. 50–54, Association for Computing Machinery, Inc, 2023, ISBN: 978-145039898-5 (ISBN).
Abstract | Links | BibTeX | Tags: 'current, AI-generated content, Algorithmic energy, Algorithmics, Arts computing, Energy, Form of existences, Image enhancement, Interactive computer graphics, Metaverse, Metaverses, Other verse, Other verses, Resilience, Virtual Reality, Virtual worlds
@inproceedings{friess_the_otherverse_2023,
title = {THE_OTHERVERSE - A Contemporary Cabinet Of Curiosities},
author = {P. Friess},
editor = {Byrne D. and Martelaro N.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167658209&doi=10.1145%2f3563703.3596803&partnerID=40&md5=d68cab2e32a1581efd5b734b67b0f88b},
doi = {10.1145/3563703.3596803},
isbn = {978-145039898-5 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {DIS Companion: Companion Publ. ACM Des Interact. Syst. Conf.},
pages = {50–54},
publisher = {Association for Computing Machinery, Inc},
abstract = {THE_OTHERVERSE is an artwork exploring resilience as a proactive artistic attitude. Inspired by the revisited idea of a "Wunderkammer"for multidisciplinary exploration and as a representation of microcosms of the world, the artwork features a contemporary cabinet of curiosities with AI-generated content of other forms of existence and expands the current Metaverse paradigm including emphasizing algorithm energy sound and rhythm. The research-creation process includes storytelling, object creation, virtual environment design, sound creation, and image enhancement, blending the aesthetics of the obtained results with the tools used for the creation. Understanding and interacting with AI as a creative partner opens up new possibilities for future research-creation, both for the research part in providing collective knowledge as for the creation part to propose a machine-thinking inspired recombination of ideas. Resilience is not only achieved by how we respond to bad things, but also how we broaden our possibilities (https://vimeo.com/petermfriess/the-otherverse). © 2023 ACM.},
keywords = {'current, AI-generated content, Algorithmic energy, Algorithmics, Arts computing, Energy, Form of existences, Image enhancement, Interactive computer graphics, Metaverse, Metaverses, Other verse, Other verses, Resilience, Virtual Reality, Virtual worlds},
pubstate = {published},
tppubtype = {inproceedings}
}
THE_OTHERVERSE is an artwork exploring resilience as a proactive artistic attitude. Inspired by the revisited idea of a "Wunderkammer"for multidisciplinary exploration and as a representation of microcosms of the world, the artwork features a contemporary cabinet of curiosities with AI-generated content of other forms of existence and expands the current Metaverse paradigm including emphasizing algorithm energy sound and rhythm. The research-creation process includes storytelling, object creation, virtual environment design, sound creation, and image enhancement, blending the aesthetics of the obtained results with the tools used for the creation. Understanding and interacting with AI as a creative partner opens up new possibilities for future research-creation, both for the research part in providing collective knowledge as for the creation part to propose a machine-thinking inspired recombination of ideas. Resilience is not only achieved by how we respond to bad things, but also how we broaden our possibilities (https://vimeo.com/petermfriess/the-otherverse). © 2023 ACM.