IRRMA: An Image Recommender Robot Meeting Assistant

Alcaraz, Benoît; Hosseini Kivanani, Nina; Najjar, Amro

doi:10.1007/978-3-031-18192-4_36

Reference : IRRMA: An Image Recommender Robot Meeting Assistant


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/52428

Title :	IRRMA: An Image Recommender Robot Meeting Assistant
Language :	English
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 []
Publication date :	Jul-2022
Main document title :	IRRMA: An Image Recommender Robot Meeting Assistant
Pages :	449–453
Peer reviewed :	Yes
Audience :	International
Event name :	20th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)
Event date :	13/07/2022-15/07/2022
Event country :	Italy
Keywords :	[en] Robot assistant ; Meeting assistant ; Recommender system
Abstract :	[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).
Permalink :	http://hdl.handle.net/10993/52428
DOI :	10.1007/978-3-031-18192-4_36
Other URL :	https://link.springer.com/chapter/10.1007/978-3-031-18192-4_36#chapter-info
FnR project :	FnR ; FNR14589586 > Leon Van Der Torre > EXPECTATION > Personalized Explainable Artificial Intelligence For Decentralized Agents With Heterogeneous Knowledge > 01/04/2021 > 31/03/2024 > 2020

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Open access	QTRobot_Meeting_Assistant.pdf		Author postprint	11.9 MB	View/Open

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