Interaction with a Virtual Coach for Active and Healthy Ageing

Since life expectancy has increased significantly over the past century, society is being forced to discover innovative ways to support active aging and elderly care. The e-VITA project, which receives funding from both the European Union and Japan, is built on a cutting edge method of virtual coach...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 23; číslo 5; s. 2748
Hlavní autoři: McTear, Michael, Jokinen, Kristiina, Alam, Mirza Mohtashim, Saleem, Qasid, Napolitano, Giulio, Szczepaniak, Florian, Hariz, Mossaab, Chollet, Gérard, Lohr, Christophe, Boudy, Jérôme, Azimi, Zohre, Roelen, Sonja Dana, Wieching, Rainer
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 02.03.2023
MDPI
Témata:
active and healthy ageing
Aging
Artificial Intelligence
Augmented reality
Bioengineering
Coaching
Computer Science
dialogue system
Emotions
European Union
Exercise
France
Health aspects
Healthy Aging
Humans
Innovations
Italy
Knowledge representation
knowledge sources
Life Sciences
Mobility
Motion capture
Natural language
Older people
participatory design
Robots
Sensors
Verbal communication
Virtual reality
France
Italy
Europe
Japan
Norway
Spain
participatory design
sensors
dialogue system
knowledge sources
active and healthy ageing
ISSN:1424-8220, 1424-8220
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Shrnutí:Since life expectancy has increased significantly over the past century, society is being forced to discover innovative ways to support active aging and elderly care. The e-VITA project, which receives funding from both the European Union and Japan, is built on a cutting edge method of virtual coaching that focuses on the key areas of active and healthy aging. The requirements for the virtual coach were ascertained through a process of participatory design in workshops, focus groups, and living laboratories in Germany, France, Italy, and Japan. Several use cases were then chosen for development utilising the open-source Rasa framework. The system uses common representations such as Knowledge Bases and Knowledge Graphs to enable the integration of context, subject expertise, and multimodal data, and is available in English, German, French, Italian, and Japanese.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23052748