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 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
Mereu, J.
Using LLMs to enhance end-user development support in XR Proceedings Article
In: V., Paneva; D., Tetteroo; V., Frau; S., Feger; D., Spano; F., Paterno; S., Sauer; M., Manca (Ed.): CEUR Workshop Proc., CEUR-WS, 2025, ISBN: 16130073 (ISSN).
Abstract | Links | BibTeX | Tags: 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
@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}
}
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.