GuestXR: Difference between revisions

Latest revision as of 13:10, 22 April 2026

GuestXR Project

CORDIS Reference	Start date	End date	Coordinator
https://cordis.europa.eu/project/id/101017884	01/01/2022	31/12/2025	FUNDACIO EURECAT / Spain

Project description

User content often stimulates antisocial interaction and abuse, representing a threat to vulnerable adults, teenagers and children. The EU-funded GuestXR project intends to develop a socially interactive multisensory platform system that uses extended reality – virtual and augmented – as a vehicle to connect people for immersive, synchronous face to face interaction with positive social results. The project will introduce a critical innovation consisting of the intervention of artificial agents that learn over time to assist the virtual social gathering in realising its purposes. This agent, ‘The Guest’, will exploit machine learning to enable the meeting towards specific results. The project will rely on neuroscience and social psychology research on group behaviour to deliver rules to agent based models.

Project outputs

Technological assets

Title	Type of Asset	Link / DOI	Description
Motivational Interviewing Transcripts Annotated	Dataset	https://doi.org/10.5281/zenodo.12792623	Annotated transcripts used for training AI-generated patient simulations.
MB-RIRs: a Synthetic Room Impulse Response Dataset	Dataset	https://doi.org/10.48550/arxiv.2507.09750	Synthetic room impulse responses featuring frequency-dependent absorption coefficients.
Inceptor	Open-Source Tool	https://doi.org/10.1109/vrw58643.2023.00102	An open-source tool developed for the automated creation of 3D social scenarios in virtual environments.
Topo-Speech	Sensory System	https://doi.org/10.3389/fnhum.2022.1058093	A sensory substitution system conveying spatial information to blind and vision-impaired individuals.

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 === Project description ===
 User content often stimulates antisocial interaction and abuse, representing a threat to vulnerable adults, teenagers and children. The EU-funded GuestXR project intends to develop a socially interactive multisensory platform system that uses extended reality – virtual and augmented – as a vehicle to connect people for immersive, synchronous face to face interaction with positive social results. The project will introduce a critical innovation consisting of the intervention of artificial agents that learn over time to assist the virtual social gathering in realising its purposes. This agent, ‘The Guest’, will exploit machine learning to enable the meeting towards specific results. The project will rely on neuroscience and social psychology research on group behaviour to deliver rules to agent based models.
+=== Project outputs ===
+==== Technological assets ====
+{| class="wikitable sortable"
+! Title !! Type of Asset !! Link / DOI !! Description
+|-
+| Motivational Interviewing Transcripts Annotated || Dataset || https://doi.org/10.5281/zenodo.12792623 || Annotated transcripts used for training AI-generated patient simulations.
+|-
+| MB-RIRs: a Synthetic Room Impulse Response Dataset || Dataset || https://doi.org/10.48550/arxiv.2507.09750 || Synthetic room impulse responses featuring frequency-dependent absorption coefficients.
+|-
+| Inceptor || Open-Source Tool || https://doi.org/10.1109/vrw58643.2023.00102 || An open-source tool developed for the automated creation of 3D social scenarios in virtual environments.
+|-
+| Topo-Speech || Sensory System || https://doi.org/10.3389/fnhum.2022.1058093 || A sensory substitution system conveying spatial information to blind and vision-impaired individuals.
+|}