IRRMA: An Image Recommender Robot Meeting Assistant

[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 :

Computer science

Author, co-author :

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

External co-authors :

Language :

English

Title :

IRRMA: An Image Recommender Robot Meeting Assistant

Publication date :

July 2022

Event name :

20th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)

Event place :

Italy

Event date :

13/07/2022-15/07/2022

Audience :

International

Main work title :

IRRMA: An Image Recommender Robot Meeting Assistant

Pages :

449–453

Peer reviewed :

Peer reviewed

Additional URL :

https://link.springer.com/chapter/10.1007/978-3-031-18192-4_36#chapter-info

FnR Project :

FNR14589586 - Personalized Explainable Artificial Intelligence For Decentralized Agents With Heterogeneous Knowledge, 2020 (01/04/2021-31/03/2024) - Leon Van Der Torre

Available on ORBilu :

since 13 October 2022

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Bibliography

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