Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project.

Autor: Luperto M; Applied Intelligent System Lab, Department of Computer Science, University of Milan, Milano, Italy., Monroy J; Machine Perception and Intelligent Robotics Group (MAPIR), Department of System Engineering and Automation, University of Malaga, and Instituto de Investigación Biomédica de Málaga-IBIMA, Malaga, Spain., Renoux J; Machine Perception and Interaction Lab, Örebro University, Örebro, Sweden., Lunardini F; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Basilico N; Applied Intelligent System Lab, Department of Computer Science, University of Milan, Milano, Italy., Bulgheroni M; AB.Acus SRL, Milan, Italy., Cangelosi A; University of Manchester, Manchester, UK., Cesari M; IRCCS Istituti Clinici Scientifici Maugeri, University of Milan, Milan, Italy., Cid M; Junta de Extremadura, Merida, Spain., Ianes A; Korian, Milan, Italy., Gonzalez-Jimenez J; Machine Perception and Intelligent Robotics Group (MAPIR), Department of System Engineering and Automation, University of Malaga, and Instituto de Investigación Biomédica de Málaga-IBIMA, Malaga, Spain., Kounoudes A; SignalGeneriX, Limassol, Cyprus., Mari D; EURECAT, Barcelona, Spain., Prisacariu V; University of Oxford, Oxford, UK., Savanovic A; Smart Com, Ljubjana, Slovenia., Ferrante S; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy., Borghese NA; Applied Intelligent System Lab, Department of Computer Science, University of Milan, Milano, Italy.
Jazyk: angličtina
Zdroj: International journal of social robotics [Int J Soc Robot] 2023; Vol. 15 (3), pp. 517-545. Date of Electronic Publication: 2022 Feb 14.
DOI: 10.1007/s12369-021-00843-0
Abstrakt: 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.
Competing Interests: Conflict of interestThe authors declare that they have no conflict of interest.
(© The Author(s) 2022.)
Databáze: MEDLINE
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