RT Journal Article
T1 Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project.
A1 Luperto, Matteo
A1 Monroy, Javier
A1 Renoux, Jennifer
A1 Lunardini, Francesca
A1 Basilico, Nicola
A1 Bulgheroni, Maria
A1 Cangelosi, Angelo
A1 Cesari, Matteo
A1 Cid, Manuel
A1 Ianes, Aladar
A1 Gonzalez-Jimenez, Javier
A1 Kounoudes, Anastasis
A1 Mari, David
A1 Prisacariu, Victor
A1 Savanovic, Arso
A1 Ferrante, Simona
A1 Borghese, N Alberto
K1 Ambient Assisted Living
K1 IoT network
K1 Monitoring
K1 Socially assistive robots
K1 Virtual communities
AB The integration of Ambient Assisted Living (AAL) frameworks with Socially Assistive Robots (SARs) has proven useful for monitoring and assisting older adults in their own home. However, the difficulties associated with long-term deployments in real-world complex environments are still highly under-explored. In this work, we first present the MoveCare system, an unobtrusive platform that, through the integration of a SAR into an AAL framework, aimed to monitor, assist and provide social, cognitive, and physical stimulation in the own houses of elders living alone and at risk of falling into frailty. We then focus on the evaluation and analysis of a long-term pilot campaign of more than 300 weeks of usages. We evaluated the system's acceptability and feasibility through various questionnaires and empirically assessed the impact of the presence of an assistive robot by deploying the system with and without it. Our results provide strong empirical evidence that Socially Assistive Robots integrated with monitoring and stimulation platforms can be successfully used for long-term support to older adults. We describe how the robot's presence significantly incentivised the use of the system, but slightly lowered the system's overall acceptability. Finally, we emphasise that real-world long-term deployment of SARs introduces a significant technical, organisational, and logistical overhead that should not be neglected nor underestimated in the pursuit of long-term robust systems. We hope that the findings and lessons learned from our work can bring value towards future long-term real-world and widespread use of SARs.
PB Springer
SN 1875-4791
YR 2022
FD 2022-02-14
LK http://hdl.handle.net/10668/21286
UL http://hdl.handle.net/10668/21286
LA en
DS RISalud
RD Aug 23, 2025