AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Wang, C.; Sundstedt, V.; Garro, V.

Generative Artificial Intelligence for Immersive Analytics Proceedings Article

In: T., Bashford-Rogers; D., Meneveaux; M., Ammi; M., Ziat; S., Jänicke; H., Purchase; P., Radeva; A., Furnari; K., Bouatouch; A.A., Sousa (Ed.): Proc. Int. Jt. Conf. Comput. Vis. Imaging Comput. Graph. Theory Appl., pp. 938–946, Science and Technology Publications, Lda, 2025, ISBN: 21845921 (ISSN).

Abstract | Links | BibTeX | Tags: 'current, 3D content, 3D Generation, 3D modeling, 3D technology, Artificial intelligence, Artificial intelligence generated content, Cutting edges, Cutting tools, Generation method, Generation techniques, Technological challenges, Three dimensional computer graphics, Virtual Reality

@inproceedings{wang_generative_2025,

title = {Generative Artificial Intelligence for Immersive Analytics},

author = {C. Wang and V. Sundstedt and V. Garro},

editor = {Bashford-Rogers T. and Meneveaux D. and Ammi M. and Ziat M. and Jänicke S. and Purchase H. and Radeva P. and Furnari A. and Bouatouch K. and Sousa A.A.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001960708&doi=10.5220%2f0013308400003912&partnerID=40&md5=cb416a11c795ea8081730f6f339a0b4b},

doi = {10.5220/0013308400003912},

isbn = {21845921 (ISSN)},

year  = {2025},

date = {2025-01-01},

booktitle = {Proc. Int. Jt. Conf. Comput. Vis. Imaging Comput. Graph. Theory Appl.},

volume = {1},

pages = {938–946},

publisher = {Science and Technology Publications, Lda},

abstract = {Generative artificial intelligence (GenAI) models have advanced various applications with their ability to generate diverse forms of information, including text, images, audio, video, and 3D models. In visual computing, their primary applications have focused on creating graphic content and enabling data visualization on traditional desktop interfaces, which help automate visual analytics (VA) processes. With the rise of affordable immersive technologies, such as virtual reality (VR), augmented reality (AR), and mixed reality (MR), immersive analytics (IA) has been an emerging field offering unique opportunities for deeper engagement and understanding of complex data in immersive environments (IEs). However, IA system development remains resource-intensive and requires significant expertise, while integrating GenAI capabilities into IA is still under early exploration. Therefore, based on an analysis of recent publications in these fields, this position paper investigates how GenAI can support future IA systems for more effective data exploration with immersive experiences. Specifically, we discuss potential directions and key issues concerning future GenAI-supported IA applications. © 2025 by SCITEPRESS–Science and Technology Publications, Lda.},

keywords = {'current, 3D content, 3D Generation, 3D modeling, 3D technology, Artificial intelligence, Artificial intelligence generated content, Cutting edges, Cutting tools, Generation method, Generation techniques, Technological challenges, Three dimensional computer graphics, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}

2023

Si, J.; Song, J.; Woo, M.; Kim, D.; Lee, Y.; Kim, S.

Generative AI Models for Virtual Interviewers: Applicability and Performance Comparison Proceedings Article

In: IET. Conf. Proc., pp. 27–28, Institution of Engineering and Technology, 2023, ISBN: 27324494 (ISSN).

Abstract | Links | BibTeX | Tags: 3D Generation, College admissions, Digital elevation model, Effective practices, Generative AI, Job hunting, Metaverse, Metaverses, Performance, Performance comparison, Virtual environments, Virtual Interview, Virtual Reality