AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2023
Sabatucci, Luca; Cossentino, Massimo; Napoli, Claudia Di; Susi, Angelo
A model for automatic selection of IoT services in ambient assisted living for the elderly Journal Article
In: Pervasive and Mobile Computing, vol. 95, 2023.
Abstract | BibTeX | Tags: AAL for the Elderly, Model at run-time, Reasoning
@article{sabatucci_model_2023,
title = {A model for automatic selection of IoT services in ambient assisted living for the elderly},
author = {Luca Sabatucci and Massimo Cossentino and Claudia Di Napoli and Angelo Susi},
year = {2023},
date = {2023-01-01},
journal = {Pervasive and Mobile Computing},
volume = {95},
abstract = {Context: Engineering Ambient Assisted Living applications for the elderly is challenging due
to the diversity and rapid changes of both end users’ needs and technological environment
equipment.
Objective: Assistive applications can be provided as combinations of functionalities provided by
IoT devices. With the pervasive availability of functionally equivalent IoT devices, they should
be selected according to the specific deployment context in terms of user needs and conditions,
device availability, and regulations when the operative context dynamic conditions can be set.
Such selection is the objective of this work.
Methods: We rely on a conceptual framework for self-adaptation as the enabler for a run-
time decision-making process. It allows for representing relations among IoT devices, the
functionalities they deliver, and the different modalities these functionalities are provided with
in terms of goals, devices, and norms. The framework is based on three fundamental principles:
(1) high-level abstractions separating the expected functionality, how it can be delivered, and
who is responsible for its delivery; (2) AAL applications as the run-time composition of atomic
functionalities; (3) centrality of the user in the system.
Result: The Device-Goal-Norm framework is proposed to specify diagrams for different AAL
applications, together with the semantics to transform these diagrams into run-time models. We
also provide a running implementation of a run-time model based on the belief–desire–intention
paradigm.},
keywords = {AAL for the Elderly, Model at run-time, Reasoning},
pubstate = {published},
tppubtype = {article}
}
Context: Engineering Ambient Assisted Living applications for the elderly is challenging due
to the diversity and rapid changes of both end users’ needs and technological environment
equipment.
Objective: Assistive applications can be provided as combinations of functionalities provided by
IoT devices. With the pervasive availability of functionally equivalent IoT devices, they should
be selected according to the specific deployment context in terms of user needs and conditions,
device availability, and regulations when the operative context dynamic conditions can be set.
Such selection is the objective of this work.
Methods: We rely on a conceptual framework for self-adaptation as the enabler for a run-
time decision-making process. It allows for representing relations among IoT devices, the
functionalities they deliver, and the different modalities these functionalities are provided with
in terms of goals, devices, and norms. The framework is based on three fundamental principles:
(1) high-level abstractions separating the expected functionality, how it can be delivered, and
who is responsible for its delivery; (2) AAL applications as the run-time composition of atomic
functionalities; (3) centrality of the user in the system.
Result: The Device-Goal-Norm framework is proposed to specify diagrams for different AAL
applications, together with the semantics to transform these diagrams into run-time models. We
also provide a running implementation of a run-time model based on the belief–desire–intention
paradigm.
to the diversity and rapid changes of both end users’ needs and technological environment
equipment.
Objective: Assistive applications can be provided as combinations of functionalities provided by
IoT devices. With the pervasive availability of functionally equivalent IoT devices, they should
be selected according to the specific deployment context in terms of user needs and conditions,
device availability, and regulations when the operative context dynamic conditions can be set.
Such selection is the objective of this work.
Methods: We rely on a conceptual framework for self-adaptation as the enabler for a run-
time decision-making process. It allows for representing relations among IoT devices, the
functionalities they deliver, and the different modalities these functionalities are provided with
in terms of goals, devices, and norms. The framework is based on three fundamental principles:
(1) high-level abstractions separating the expected functionality, how it can be delivered, and
who is responsible for its delivery; (2) AAL applications as the run-time composition of atomic
functionalities; (3) centrality of the user in the system.
Result: The Device-Goal-Norm framework is proposed to specify diagrams for different AAL
applications, together with the semantics to transform these diagrams into run-time models. We
also provide a running implementation of a run-time model based on the belief–desire–intention
paradigm.