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Exploring the Viability of Socially Assistive Robots for At-Home Cognitive Monitoring

Potential and Limitations

Bibliographic Data

ID21199832
AuthorsMatteo Luperto (0000-0002-8976-2073, University of Milan, corresponding author), Marta Romeo (0000-0003-4438-0255, Heriot-Watt University, corresponding author), Francesca Lunardini (0000-0003-4705-6733, Politecnico di Milano), Javier Monroy (0000-0001-7869-7811, Universidad de Málaga), Daniel Hernández García (0000-0001-9296-9692, Heriot-Watt University), Carlo Abbate (0000-0002-0368-3834, Don Carlo Gnocchi Foundation), Angelo Cangelosi (0000-0002-4709-2243, University of Manchester), Simona Ferrante (0000-0002-7835-1965, Politecnico di Milano), Javier Gonzalez-Jimenez (0000-0003-3845-3497, Universidad de Málaga), Nicola Basilico (0000-0002-4512-3480, University of Milan), N Alberto Borghese (0000-0002-0925-3448, University of Milan)
Year2025
Volume17
Issue5
Pages823-841
Publication date2025-05-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Robotics (JOURNAL)
Journal identifiersISSN: 1875-4791 • E-ISSN: 1875-4805
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12369-024-01158-6
OpenAlexW4400587514
LanguageEN
Citations received2
References cited30

The early detection of mild cognitive impairment, a condition of increasing impact in our aging society, is a challenging task with no established answer. One promising solution is the deployment of robotic systems and ambient assisted living technology in the houses of older adults for monitoring and assistance. In this work, we address and discuss a qualitative analysis on the feasibility and acceptability of a socially assistive robot (SAR) deployed in prospective users’ houses to monitor their cognitive capabilities through a set of digitalised neuropsychological tests and spot questions conveniently integrated within the robotic assistant’s daily tasks. We do this by describing an experimental campaign where a robotic system, integrated with a larger framework, was installed in the house of 10 users for a duration of at least 10 weeks, during which their cognitive capabilities were monitored by the robot. Concretely, the robots supervised the users during the completion of the tests and transparently monitored them by asking questions interleaved in their everyday activities. Results show a general acceptance of such technology, being able to carry out the intended tasks without being too invasive, paving the way for an impactful at-home use of SARs

Activities of daily living · Cognition · Human–computer interaction · Independent living · Neuropsychology · Robot · Robotics · Software deployment · Systems engineering · Cognitive Functions and Memory · Computer Science · Dementia and Cognitive Impairment Research · Engineering · Medicine · Psychology · Technology Use by Older Adults · Artificial Intelligence · Gerontology

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Citations per year2
Citation span2025 - 2026 (2)
Highly citedNo

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