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GuestXR: A Machine Learning Agent for Social Harmony in eXtended Reality

Descripción del proyecto

Innovación para la interacción inmersiva con resultados sociales positivos

Con frecuencia, el contenido de los usuarios estimula la interacción antisocial y el abuso, lo que representa una amenaza para adultos, adolescentes y niños vulnerables. El proyecto GuestXR, financiado con fondos europeos, tiene como objetivo desarrollar un sistema de plataforma multisensorial socialmente interactiva que utilice realidad extendida —virtual y aumentada— como vehículo para conectar a personas en una interacción cara a cara inmersiva y sincrónica con resultados sociales positivos. El proyecto introducirá una innovación crítica que consiste en la intervención de agentes artificiales que aprendan con el tiempo a ayudar a que la reunión social virtual logre sus objetivos. Este agente, «El Invitado» , aprovechará el aprendizaje automático para orientar la reunión hacia resultados específicos. El proyecto se basará en la investigación en neurociencia y psicología social sobre comportamiento grupal para proporcionar reglas a los modelos basados en agentes.

Objetivo

Immersive online social spaces will soon become ubiquitous. However, there is also a warning that we need to heed from social media.
User content is the ‘lifeblood of social media’. However, it often stimulates antisocial interaction and abuse, ultimately posing a danger to vulnerable adults, teenagers, and children.
In the VR space this is backed up by the experience of current virtual shared spaces. While they have many positive aspects, they have also become a space full of abuse.
Our vision is to develop GuestXR, a socially interactive multisensory platform system that uses eXtended Reality (virtual and augmented reality) as the medium to bring people together for immersive, synchronous face-to-face interaction with positive social outcomes.
The critical innovation is the intervention of artificial agents that learn over time to help the virtual social gathering realise its aims. This is an agent that we refer to as “The Guest” that exploits Machine Learning to learn how to facilitate the meeting towards specific outcomes.
Underpinning this is neuroscience and social psychology research on group behaviour, which will deliver rules to Agent Based Models (ABM).
The combination of AI with immersive systems (including haptics and immersive audio), virtual and augmented reality will be a hugely challenging research task, given the vagaries of social meetings and individual behaviour. Several proof of concept applications will be developed during the project, including a conflict resolution application in collaboration with the UN. A strong User Group made up of a diverse range of stakeholders from industry, academia, government and broader society will provide continuous feedback. An Open Call will be held to bring in artistic support and additional use cases from wider society. Significant work is dedicated to ethics “by design”, to identify problems and look eventually towards an appropriate regulatory framework for such socially interactive systems.

Convocatoria de propuestas

H2020-FETPROACT-2018-2020

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Convocatoria de subcontratación

H2020-FETPROACT-2020-2

Régimen de financiación

RIA - Research and Innovation action

Coordinador

FUNDACIO EURECAT
Aportación neta de la UEn
€ 700 375,00
Dirección
AVENIDA UNIVERSITAT AUTONOMA 23
08290 Cerdanyola Del Valles (Barcelona)
España

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Región
Este Cataluña Barcelona
Tipo de actividad
Research Organisations
Enlaces
Coste total
€ 700 375,00

Participantes (8)