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, N. Alberto Borghese

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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.
Original languageEnglish
Title of host publication2019 IEEE/RSJ International Conference on Intelligent Robots and Systems
Publication statusAccepted/In press - 20 Jun 2019
Event2019 IEEE/RSJ International Conference on Intelligent Robots and Systems - Macao, China
Duration: 4 Nov 20198 Nov 2019

Conference

Conference2019 IEEE/RSJ International Conference on Intelligent Robots and Systems
Abbreviated titleIROS 2019
Country/TerritoryChina
CityMacao
Period4/11/198/11/19

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