Document - Tell-XR: conversational end-user development of XR automations

2025

Conference article Open Access

Tell-XR: conversational end-user development of XR automations

Carcangiu A., Manca M., Mereu J., Santoro C., Simeoli L., Spano L. D.

eXtended Reality, End-User Development, Immersive Authoring, Large Language Models, Meta Design, Rule

The availability of extended reality (XR) devices has widened their adoption, yet authoring interactive experiences remains complex for non-programmers. We introduce Tell-XR, an intelligent agent leveraging large language models (LLMs) to guide end-users in defining the interaction in XR settings using automations described as Event-Condition-Action (ECA) rules. Through a formative study, we identified the key conversation stages to define and refine automations, which informed the design of the system architecture. The evaluation study in two scenarios (a VR museum and an AR smart home) demonstrates the effectiveness of Tell-XR across different XR interaction settings.

Source: LECTURE NOTES IN COMPUTER SCIENCE, vol. 16108, pp. 617-641. Belo Horizonte, Minas Gerais, Brazil, 08-12/09/2025

Publisher: Springer, Cham

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@inproceedings{oai:iris.cnr.it:20.500.14243/553542,
	title = {Tell-XR: conversational end-user development of XR automations},
	author = {Carcangiu A. and Manca M. and Mereu J. and Santoro C. and Simeoli L. and Spano L.  D.},
	publisher = {Springer, Cham},
	doi = {10.1007/978-3-032-04999-5_35 and https://doi.org/10.1007/978-3-032-04999-5_35},
	booktitle = {LECTURE NOTES IN COMPUTER SCIENCE, vol. 16108, pp. 617-641. Belo Horizonte, Minas Gerais, Brazil, 08-12/09/2025},
	year = {2025}
}