Publication Details
Support of Migrant Reception, Integration, and Social Inclusion by Intelligent Technologies
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
Egorova Ekaterina, Ing., Ph.D. (DCGM FIT BUT)
Klusch Matthias, Priv.-Doz. Dr. (DFKI)
and others
human-centered artificial intelligence; intelligent technologies for migrant support; conversational artificial intelligence; virtual reality; agent-based information delivery; agent-based coaching; agent-based training
Apart from being an economic struggle, migration is first of all a societal challenge; most migrants come from different cultural and social contexts, do not speak the language of the host country, and are not familiar with its societal, administrative, and labour market infrastructure. This leaves them in need of dedicated personal assistance during their reception and integration. However, due to the continuously high number of people in need of attendance, public administrations and non-governmental organizations are often overstrained by this task. The objective of the Welcome Platform is to address the most pressing needs of migrants. The Platform incorporates advanced Embodied Conversational Agent and Virtual Reality technologies to support migrants in the context of reception, integration, and social inclusion in the host country. It has been successfully evaluated in trials with migrants in three European countries in view of potentially deviating needs at the municipal, regional, and national levels, respectively: the City of Hamm in Germany, Catalonia in Spain, and Greece. The results show that intelligent technologies can be a valuable supplementary tool for reducing the workload of personnel involved in migrant reception, integration, and inclusion.
@ARTICLE{FITPUB13294, author = "Leo Wanner and Jan \v{C}ernock\'{y} and Ekaterina Egorova and Matthias Klusch and Athanasios Mavropoulos and et al.", title = "Support of Migrant Reception, Integration, and Social Inclusion by Intelligent Technologies", pages = "1--33", journal = "Information", volume = 15, number = 11, year = 2024, ISSN = "2078-2489", doi = "10.3390/info15110686", language = "english", url = "https://www.fit.vut.cz/research/publication/13294" }