SPRING

to develop a social assistant robot capable of offering multimodal support to elderly people when they come to the hospital
Underway
01/01/2020

-

31/05/2025

Main objectives

Elderly people suffering from neurocognitive disorders require multimodal support (social, medical, associative) in which social assistant robots (SARs for "Socially Assistive Robots") could intervene in order to improve the physical and psychological well-being of the elderly and maintain their quality of life. SARs are social entities capable of interacting with their users in a variety of contexts (informational, recreational, educational). These robots also offer promising possibilities to accompany caregivers in their support of people with neurodegenerative diseases. Nevertheless, these robots are not sufficiently sophisticated to engage in satisfactory social interactions with humans and to lead to their adoption.
The SPRING project intends to develop a social assistance robot, named ARI, capable of interacting with multiple speakers, in busy hospital environments to inform, orient and entertain users. During this non-interventional and exploratory research, the ARI robot will be tested around 5 use cases (1/intake, 2/social interactions without health risks, 3/assistance to the preparation of consultations, 4/orientation and guidance and 5/entertainment).
Within the framework of research for innovation solutions in hospitals, the researchers of the AP-HP participating in the SPRING project wish to evaluate the human-robot interactions in a hospital care context and in particular the acceptability and the uses of the robot with the actors of the day hospital (HDJ) of the Broca hospital, AP-HP.

Publications

Members

Inria, HERIOT-WATT University, Bar Ilan University, Universita Degli Studi di Trento, Université Technique de Prague, AP-HP, ERM Automatismes Industriels, PAL Robotics

Useful links

https://spring-h2020.eu/

Other projects

COVIPREDS

Description

US Caractérisation et prédiction de la survenue de formes graves ou létales du COVID-19 à partir des données issues de l’EDS de l’AP-HP

Names of partners involved
AP-HP, Inria & Centrale Supélec

read more