AHCI RESEARCH GROUP

Publications

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

OUR RESEARCH

Scientific Publications

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2025

Graziano, M.; Cante, L. Colucci; Martino, B. Di

Deploying Large Language Model on Cloud-Edge Architectures: A Case Study for Conversational Historical Characters Book Section

In: Lecture Notes on Data Engineering and Communications Technologies, vol. 250, pp. 196–205, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 23674512 (ISSN).

Abstract | Links | BibTeX | Tags: Agent based, Augmented Reality, Case-studies, Chatbots, Cloud computing architecture, Conversational Agents, EDGE architectures, Historical characters, Language Model, Modeling languages, Real time performance, WEB application, Web applications, Work analysis

2024

Gemeinhardt, J.; Zöllner, M.; Jahn, C.

Generative AI Tool Pipeline for Creating Artificial Historical Characters for Cultural Heritage XR Proceedings Article

In: C., Stephanidis; M., Antona; S., Ntoa; G., Salvendy (Ed.): Commun. Comput. Info. Sci., pp. 41–46, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 18650929 (ISSN); 978-303161949-6 (ISBN).

Abstract | Links | BibTeX | Tags: Bavaria, Cultural heritage, Cultural heritages, Extended reality (XR), Generative AI, Historical characters, Immersive, Media production, Open source software, Open systems, Pipelines, Reproducibilities, Smart phones, Virtual representations, Web browsers

@inproceedings{gemeinhardt_generative_2024,

title = {Generative AI Tool Pipeline for Creating Artificial Historical Characters for Cultural Heritage XR},

author = {J. Gemeinhardt and M. Zöllner and C. Jahn},

editor = {Stephanidis C. and Antona M. and Ntoa S. and Salvendy G.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197123898&doi=10.1007%2f978-3-031-61950-2_5&partnerID=40&md5=8f8a3cf4f4bf024b42f6490f64345df2},

doi = {10.1007/978-3-031-61950-2_5},

isbn = {18650929 (ISSN); 978-303161949-6 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Commun. Comput. Info. Sci.},

volume = {2116 CCIS},

pages = {41–46},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {In our project, we aimed to create historically authentic and vivid virtual representations of historic personalities that are connected to the regional Fichtelgebirge (Bavaria, Germany) to support the storytelling of our immersive XR applications. We are describing the tools in detail, the process of the tool chain and the resulting media. Next, we are discussing the challenges in media production like historical correctness and the consultation of historians. In order to create visual reproducibility we are explaining the detailed text prompts, their limitations and how to cope with resulting errors of the human physiognomy. Finally, we are briefly describing the application of the animated and talking generated historic characters in an immersive interactive WebXR environment. The XR experience is presented in web browsers on smartphones, tablets and XR headsets and the underlying software is based on the open-source framework Aframe. Our paper will describe the process, the results and the limitations in detail. Furthermore, we will provide a flow chart of the tool pipeline with visual examples of these aspects. The animations and voices of the historic characters will be demonstrated in videos of the XR application. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},

keywords = {Bavaria, Cultural heritage, Cultural heritages, Extended reality (XR), Generative AI, Historical characters, Immersive, Media production, Open source software, Open systems, Pipelines, Reproducibilities, Smart phones, Virtual representations, Web browsers},

pubstate = {published},

tppubtype = {inproceedings}

}