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arXiv · 2504.09104

Tell-XR: Conversational End-User Development of XR Automations

Alessandro Carcangiu·Marco Manca·Jacopo Mereu·Carmen Santoro·Ludovica Simeoli·Lucio Davide Spano
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Abstract

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.

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Alessandro Carcangiu, Marco Manca, Jacopo Mereu, Carmen Santoro, Ludovica Simeoli, Lucio Davide Spano. 2025-04-12. Tell-XR: Conversational End-User Development of XR Automations. https://arxiv.org/abs/2504.09104

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