Publications

@inproceedings{mereu_using_2025,

title = {Using LLMs to enhance end-user development support in XR},

author = {J. Mereu},

editor = {Paneva V. and Tetteroo D. and Frau V. and Feger S. and Spano D. and Paterno F. and Sauer S. and Manca M.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008755984&partnerID=40&md5=bfaaa38c3bee309621426f8f35332107},

isbn = {16130073 (ISSN)},

year  = {2025},

date = {2025-01-01},

booktitle = {CEUR Workshop Proc.},

volume = {3978},

publisher = {CEUR-WS},

abstract = {This paper outlines the center stage of my PhD research, which aims to empower non-developer users to create and customize eXtended Reality (XR) environments through End-User Development (EUD) techniques combined with the latest AI tools. In particular, I describe my contributions to the EUD4XR project, detailing both the work completed and the ongoing developments. EUD4XR seeks to support end-users in customizing XR content with the assistance of a Large Language Model (LLM)-based conversational agent. © 2025 Copyright for this paper by its authors.},

keywords = {Artificial intelligence, Condition, Configuration, Development support, Development technique, End-User Development, End-Users, Event-condition-action, Event-Condition-Actions, Extended reality, Human computer interaction, Information Systems, Information use, Natural Language, Natural language processing systems, Natural languages, Rule, rules},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{artizzu_end-user_2024,

title = {End-User Development for eXtended Reality using a multimodal Intelligent Conversational Agent},

author = {V. Artizzu and A. Carcangiu and M. Manca and A. Mattioli and J. Mereu and F. Paternò and C. Santoro and L. Simeoli and L. D. Spano},

editor = {Wang N. and Bellucci A. and Anthes C. and Daeijavad P. and Friedl-Knirsch J. and Maurer F. and Pointecker F. and Spano L.D.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196077262&partnerID=40&md5=3d5f022f30a1f0e3e5e81133d07823b5},

isbn = {16130073 (ISSN)},

year  = {2024},

date = {2024-01-01},

booktitle = {CEUR Workshop Proc.},

volume = {3704},

publisher = {CEUR-WS},

abstract = {In the past years, both the research community and commercial products have proposed various solutions aiming to support end-user developers (EUDevs), namely users without extensive programming skills, to build and customize XR experiences. However, current tools may not fully eliminate the potential for user errors or misunderstandings. In this paper, we present EUD4XR, a methodology consisting of an intelligent conversational agent to provide contextual help, to EUDevs, during the authoring process. The key characteristics of this agent are its multimodality, comprehending the user’s voice, gaze, and pointing, combined with the environment status. Moreover, the agent could also demonstrate concepts, suggest components, and help explain errors further to reduce misunderstandings for end-user developers of VR/XR. © 2024 Copyright for this paper by its authors.},

keywords = {Condition, Context, End-User Development, Event-condition-action, Extended reality, Immersive authoring, Language Model, Large language model, Meta-design, multimodal input, Multimodal inputs, Rule, rules, User interfaces},

pubstate = {published},

tppubtype = {inproceedings}

}