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https://ceur-ws.org/Vol-3623/Preface.pdf
Preface of the Fourth Italian Workshop on Artificial
Intelligence for an Ageing Society, AIxAS 2023
Francesca Gasparini1,2 , Francesca Fracasso3 and Frida Milella1
1
Department of Informatics, Systems and Communication, University of Milano-Bicocca, Building U14, Viale Sarca 336,
20126 Milano, Italy
2
NeuroMI, Milan Center for Neuroscience, Piazza dell’Ateneo Nuovo 1, 20126 Milano, Italy
3
CNR-ISTC - National Research Council of Italy, Institute of Cognitive Sciences and Technologies, Rome, Italy
Abstract
Increased life expectancy is an achievement of modern society in OECD countries (and recently in
developing countries) thanks to technological progress in health, living places, and the quality of food.
The aggregate consequence of the prolongation of the life-time span is the growth of an ageing society,
as testified by several demographic studies. The study of the consequences of an ageing society on the
future of social living has recently been considered by large world institutions (UN, EU), which addressed
and designed programs for social and technological development taking into account the impact of the
ageing society on the future of the world. Within this framework, topics such as “prolonging independent
living,” “aging well,” or “social inclusion” are increasingly becoming more and more relevant. Several
initiatives all over the world took care of these aspects, focusing on the problem of developing a new
generation of innovative technologies to face an aging society and its growing needs. In this scenario,
Artificial Intelligence (AI) methods and techniques have and will have a pivotal role, due to the advanced
goals of the discipline and its inner cross-disciplinary attitude, to deliver innovative and impactful results
and related technologies. The development of AI-based solutions to support longevity to cope with the
changes of aging and cognitive capacities represents one of the most advanced ICT areas in the AI field.
Robotics, Assistive Technology for Cognition, Sensor-based Monitoring Systems, Compensation Systems,
Road Security, Continuous Learning and Navigation Supports for in-and-outdoor Systems are the fields
where AI may challenge its solutions and contribute to innovative technological changes.
Preface
This volume contains the papers presented at AIxAS 2023, the fourth edition of the Italian
Workshop on Artificial Intelligence for an Ageing Society (http://aixas.it/), held within the 22nd
International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), on
November 6th–9th, 2023. The aim of this series of workshops is to bring together researchers
interested in different aspects of Artificial Intelligence in an Ageing Society. The working group
“Artificial Intelligence for an Ageing Society” has previously organized several Workshops on
Technological Challenges and Scenarios for the Ageing Society in Brescia, Palermo, Torino,
Genoa, Bari, Trento, Rende, and Udine to discuss about technological roles and opportunities
AIxAS 2023: Fourth Italian Workshop on Artificial Intelligence for an Ageing Society, 6–9 November 2023, Rome, Italy
Envelope-Open francesca.gasparini@unimib.it (F. Gasparini); francesca.fracasso@istc.cnr.it (F. Fracasso); frida.milella@unimib.it
(F. Milella)
Orcid 0000-0002-6279-6660 (F. Gasparini); 0000-0001-9442-870X (F. Fracasso); 0000-0002-0522-2804 (F. Milella)
© 2023 Copyright © 2023 for the individual papers by the papers’ authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its
papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
for Artificial Intelligence in the Ageing Society domain. Capitalizing from these activities, the
group is establishing a stable forum on the topic and organized the this workshop with the goal
of collecting contributions, ideas and new scientific and technological scenarios, as well as
to discuss and disseminate results on Artificial Intelligence for an Ageing Society. Artificial
intelligence (AI) methods and techniques have and will have a pivotal role, due to the advanced
goals of the discipline and its inner cross-disciplinary attitude, in order to deliver innovative
and impacting results and related technologies. The development of new AI-based solutions
to support and help older adults, as well as those close to them, to cope with the changes of
ageing and cognitive decline represents one of the most advanced ICT areas in the AI field.
Nevertheless, facing the problems of an ageing society requires a crossdisciplinary approach,
too. For this reason, the transition from a workshop focused on Artificial Intelligence for
Ambient Assisted Living, as in previous years, to a more pervasive workshop on Artificial
Intelligence for an Ageing Society became urgent to better reflect the multifactorial nature of
aging process and the multidisciplinary efforts needed to face with it. Each paper was reviewed
by members of the Program Committee of the Workshop, and based on their recommendations,
11 documents have been selected for presentation at the AIxAS 2023 workshop, among them
8 are published as regular papers, 2 as short ones. In addition, the workshop was enriched
by the valuable participation of Marco Albertini as invited speaker. We sincerely thank all
the members of the AIxAS Program Committee for their effort in the review process that was
fundamental for maintaining the high scientific level of the workshop. We thank the AIxIA
council, who trusted us to organize AIxAS 2023, and all the researchers of the AI community
who supported this event by submitting their work and actively participated to the discussion.
December 2023
Francesca Gasparini, Francesca Fracasso, and Frida Milella
Workshop chairs
General Chairs
• Stefania Bandini (LINTAR – DISCo, University of Milano-Bicocca, Milan, Italy)
• Luigia Carlucci Aiello (Sapienza University of Rome, Rome, Italy)
• Gabriella Cortellessa (National Research Council of Italy, Institute of Cognitive Sciences
and Technologies, CNR-ISTC, Rome, Italy)
Organizing Chairs
• Francesca Gasparini (MMSP-DISCo, University of Milano-Bicocca, Italy)
• Francesca Fracasso (National Research Council of Italy, Institute of Cognitive Sciences
and Technologies, CNR-ISTC, Rome, Italy)
• Frida Milella (LINTAR – DISCo, University of Milano-Bicocca, Milan, Italy)
Program Committee
The AIxAS workshop chairs would like to thank all the Program Committee members for their
reviewing and dissemination help:
• Flavio Soares Correa Da Silvas (University of São Paulo, Brazil)
• Riccardo De Benedictis (ISTC-CNR, Roma, Italy)
• Alessandro Leone (IMM-CNR, Lecce, Italy)
• Andrea Orlandini (ISTC-CNR, Roma, Italy)
• Adnan Syed (University of Milano-Bicocca, Italy)
• Aurora Saibene (MMSP-DISCo, University of Milano-Bicocca, Italy)
• Silvia Corchs (University of Insubria, Italy)
• Alessandra Grossi (MMSP-DISCo, University of Milano-Bicocca, Italy)
• Nunzio Alberto Borghese (Università degli studi di Milano, Italy)
• Stefano Ferilli (Università di Bari, Italy)
• Amedeo Cesta (ISTC-CNR, Roma, Italy)
• Rocco Oliveto (Università degli Studi del Molise, Italy)
Table of contents
Invited speaker
Marco Albertini
The potential for AI to the monitoring and support for caregivers: an urgent tech-social
challenge.
List of papers
• Acceptability and clinical usefulness of a telemonitoring and telerehabilitation system in
people with Parkinson’s Disease in different disease stages: preliminary findings from
the RAPIDO study.
Antonia Antoniello, Antonio Sabatelli, Simone Valenti, Lucia Pepa, Luca Spalazzi, Elisa An-
drenelli, Silvia Vada, Marianna Capecci, Michele Tinazzi, Gianmatteo Farabolini, Marialuisa
Gandolfi, Giulia Bonardi, Maria Gabriella Ceravolo and Nicolò Baldini.
• How Artificial Intelligence can support informal caregivers in their caring duties to
elderly? A systematic review of the literature.
Frida Milella, Davide Donato Russo and Stefania Bandini
• A Holistic System for Fostering Active Aging: The D3A Project.
Antonella Cascitelli, Patrizia Gabrieli, Rocco Oliveto, Daniela Scognamiglio and Jonathan
Simeone
• Fatigue Estimation through Multimodal Data Retrieved from a Commercial Wearable
Device.
Andrea Caroppo, Anna Maria Carluccio, Gabriele Rescio, Andrea Manni and Alessandro
Leone
• Enhancing upper limb mobility through gamified tasks and Azure Kinect: a preliminary
study in post-stroke subjects.
Claudia Ferraris, Gianluca Amprimo, Luca Vismara, Alessandro Mauro and Giuseppe Pettiti
• Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising
results for a debated topic.
Andrea Campagner, Lorenzo Famiglini, Beatrice Arosio, Paolo Rossi, Giorgio Annoni and
Federico Cabitza
• Exploratory analysis of longitudinal data of patients with dementia through unsupervised
techniques.
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino, Francesca Gasparini
and Davide Chicco
• Privacy-Preserving Federated Learning for In-home Monitoring of Elderly with Wearable
Biometric Sensors.
Mario Bochicchio and Sileshi Nibret Zeleke
• An Artificial Intelligence approach to predict multidimensional poverty of older people
from unlabelled data
Lorenzo Olearo, Fabio D’Adda, Enza Messina, Marco Cremaschi, Stefania Bandini and
Francesca Gasparini
• A computational framework for speech emotion recognition in case of multisource data.
Alessandra Grossi, Giorgio Fratti and Francesca Gasparini