Enabling End Users to Define the Behavior of Smart Objects in AAL Environments

Ardito, Carmelo; Buono, Paolo; Costabile, Maria Francesca; Desolda, Giuseppe; Lanzilotti, Rosa; Matera, Maristella; Piccinno, Antonio

doi:10.1007/978-3-030-05921-7_8

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…-Ardito et al's EFESTO tool [93], which enables users to set rules for smart objects to support elderly adults (with limited physical deterioration) with respect to ADLs;…”

Section: Devices and Sensormentioning

confidence: 99%

The Intelligent Built-Environment as Cyber-Physical System

Liu Cheng

2024

Architecture and the Built Environment

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This thesis presents an alternative approach to intelligence in the built-environment, departing from the two established yet divergent branches in the discourse: the Technical, centered around Information and Communication Technologies (ICTs), and represented by Ambient Intelligence (AmI) and Ambient Assisted Living (AAL); and the Architectural, centered around architectural / spatial experiences and considerations, and represented by Interactive Architecture and Adaptive Architecture. The promise of both AmI/AAL and IA/AA is constrained by rigid and increasingly outdated assumptions in their approaches—i.e., AmI’s / AAL’s approach to the built-environment, and IA’s / AA’s approach to ICTs. Moreover, it is impossible to combine them to yield a cohesive system due to disparity in their typical Technology Readiness Levels. That is, the sophistication of a system depends on that of its mutually complementing subsystems; and two or more subsystems may not mutually complement, sustain, and/or support one another if their levels of development do not correspond. Consequently, the presented alternative conceives the intelligent built-environment as a Cyber- Physical System. Under this approach, ICTs and Architectural considerations in conjunction instantiate intelligence fundamentally. The presented approach’s promise is illustrated via its application to a constrained use-case focused on the elderly. Twelve proof-of-concept demonstrators are developed based on key parameters pertaining to Indoor Environmental Quality and Quality of Life. While each demonstrator is presented as a discrete proof-of-concept, all build on the same core System Architecture and technological ecosystem, and are intended to be viewed as a collection of systems and services expressed within a same hypothetical environment.

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“…-Ardito et al's EFESTO tool [93], which enables users to set rules for smart objects to support elderly adults (with limited physical deterioration) with respect to ADLs;…”

Section: Devices and Sensormentioning

confidence: 99%

The Intelligent Built-Environment as Cyber-Physical System

Liu Cheng

2024

Architecture and the Built Environment

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“…Other team members have previous experience in designing technology for Ambient Assisted Living (AAL). See, for example, [17,18].…”

Section: Context and System Requirementsmentioning

confidence: 99%

Trade-Off Between System Effectiveness and Context Constraints in the Design of an IoT System Giving Access to Health Care in African Rural Villages

Aneke¹,

Ardito²,

Caivano³

et al. 2018

Human-Centered Software Engineering

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…The value of Internet of Things (IoT) technology is acknowledged in many scenarios of Ambient Assisted Living (AAL) [1], [2]. As several IoT devices are available today in a smart home, researchers are working a lot on smart home systems to be used by physicians and other therapists to remotely assist their patients living at home.…”

Section: Introductionmentioning

confidence: 99%