Evaluating the Acceptability of Assistive Robots for Early Detection of Mild Cognitive Impairment
Matteo Luperto, Marta Romeo, Francesca Lunardini, Nicola Basilico, Carlo Abbate, Ray Jones, Angelo Cangelosi, Simona Ferrante
Abstract
The employment of Social Assistive Robots (SARs) for monitoring elderly users represents a valuable gateway for at-home assistance. Their deployment in the house of the users can provide effective opportunities for early detection of Mild Cognitive Impairment (MCI), a condition of increasing impact in our aging society, by means of digitalized cognitive tests. In this work, we present a system where a specific set of cognitive tests is selected, digitalized, and integrated with a robotic assistant, whose task is the guidance and supervision of the users during the completion of such tests. The system is then evaluated by means of an experimental study involving potential future users, in order to assess its acceptability and identify key directions for technical improvements.
BibTeX
@inproceedings{iros2019_evaluatingtheacc,
title = {Evaluating the Acceptability of Assistive Robots for Early Detection of Mild Cognitive Impairment},
author = {Matteo Luperto and Marta Romeo and Francesca Lunardini and Nicola Basilico and Carlo Abbate and Ray Jones and Angelo Cangelosi and Simona Ferrante and N. Alberto Borghese},
booktitle = {IROS 2019},
year = {2019}
}