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Article type: Research Article
Authors: Belloum, Rafika | Yaddaden, Amelb | Lussier, Maximeb | Bier, Nathalieb | Consel, Charlesc; *
Affiliations: [a] Inria, Talence, France. E-mail: [email protected] | [b] Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal,Université de Montréal, Canada. E-mails: [email protected], [email protected], [email protected] | [c] Department of Computer Science, Bordeaux INP, Bordeaux, France. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: Older adults often need some level of assistance in performing daily living activities. Even though these activities are common to the vast majority of individuals (e.g., eating, bathing, dressing), the way they are performed varies across individuals. Supporting older people in performing their everyday activities is a major avenue of research in smart homes. However, because of its early stage, this line of work has paid little attention on customizing assistive computing support with respect to the specific needs of each older adult towards improving its effectiveness and acceptability. We propose a tool-based approach to allowing caregivers to define services in the area of home daily living, leveraging their knowledge and expertise on the older adult they care for. This approach consists of two stages: 1) a wizard allows caregivers to define an assistive service, which supports aspects of a daily activity that are specific to an older adult; 2) the wizard-generated service is uploaded in an existing smart home platform and interpreted by a dedicated component, carrying out the caregiver-defined service. Our approach has been implemented. Our wizard has been successfully used to define existing manually-programmed, activity-supporting services. The resulting services have been deployed and executed by an existing assisted living platform deployed in the home of community-dwelling individuals. They have been shown to be equivalent to their manually-programmed counterparts. We also conducted an ergonomics study involving five occupational therapists, who tested our wizard with clinical vignettes describing fictitious patients. Participants were able to successfully define services while revealing an ease of use of our wizard.
Keywords: Smart home, ambient assisted living, assistive computing, end-user programming
DOI: 10.3233/AIS-210616
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 13, no. 6, pp. 453-471, 2021
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