A dichotomic approach to adaptive interaction for socially assistive robots.

Automated planning Personalized interaction Reactive reasoning Socially Assistive Robots User modeling

Journal

User modeling and user-adapted interaction
ISSN: 0924-1868
Titre abrégé: User Model User-adapt Interact
Pays: Netherlands
ID NLM: 101149751

Informations de publication

Date de publication:
2023
Historique:
received: 05 03 2021
accepted: 22 10 2022
medline: 24 11 2022
pubmed: 24 11 2022
entrez: 23 11 2022
Statut: ppublish

Résumé

Socially assistive robotics (SAR) aims at designing robots capable of guaranteeing social interaction to human users in a variety of assistance scenarios that range, e.g., from giving reminders for medications to monitoring of Activity of Daily Living, from giving advices to promote an healthy lifestyle to psychological monitoring. Among possible users, frail older adults deserve a special focus as they present a rich variability in terms of both alternative possible assistive scenarios (e.g., hospital or domestic environments) and caring needs that could change over time according to their health conditions. In this perspective, robot behaviors should be customized according to properly designed

Identifiants

pubmed: 36415674
doi: 10.1007/s11257-022-09347-6
pii: 9347
pmc: PMC9670074
doi:

Types de publication

Journal Article

Langues

eng

Pagination

293-331

Informations de copyright

© The Author(s) 2022.

Références

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pubmed: 34046433

Auteurs

Riccardo De Benedictis (R)

ISTC-CNR - Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Alessandro Umbrico (A)

ISTC-CNR - Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Francesca Fracasso (F)

ISTC-CNR - Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Gabriella Cortellessa (G)

ISTC-CNR - Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Andrea Orlandini (A)

ISTC-CNR - Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Amedeo Cesta (A)

ISTC-CNR - Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.

Classifications MeSH