Robot assistant; Meeting assistant; Recommender system
Résumé :
[en] The number of people who attend virtual meetings has increased as a result of COVID-19. In this paper, we present a system that consists of an expressive humanoid social robot called QTRobot, and a recommender system that employs natural language processing techniques to recommend images related to the content of the presenter’s speech to the audience in real time. This is achieved utilising the QTRobot’s platform capabilities (microphone, computation power, and Wi-Fi).
Disciplines :
Sciences informatiques
Auteur, co-auteur :
ALCARAZ, Benoît ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
HOSSEINI KIVANANI, Nina ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Najjar, Amro
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
IRRMA: An Image Recommender Robot Meeting Assistant
Date de publication/diffusion :
juillet 2022
Nom de la manifestation :
20th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)
Lieu de la manifestation :
Italie
Date de la manifestation :
13/07/2022-15/07/2022
Manifestation à portée :
International
Titre de l'ouvrage principal :
IRRMA: An Image Recommender Robot Meeting Assistant
FNR14589586 - Personalized Explainable Artificial Intelligence For Decentralized Agents With Heterogeneous Knowledge, 2020 (01/04/2021-31/03/2024) - Leon Van Der Torre
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