Evidence map›Paper›PMID 34804257›Full record

ArticleInternational journal of social robotics2023

Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being.

Amelie Gyrard, Kasia Tabeau, Laura Fiorini, Antonio Kung, Eloise Senges, Marleen De Mul, Francesco Giuliani, Delphine Lefebvre, Hiroshi Hoshino, Isabelle Fabbricotti and 7 more

Abstract read
In one paragraph

Article in International journal of social robotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Amelie GyrardTrialog, Paris, France.ORCID 0000-0003-3938-5617
Kasia TabeauErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Laura FioriniDepartment of Industrial Engineering, University of Florence, Florence, Italy.
Antonio KungTrialog, Paris, France.
Eloise SengesTrialog, Paris, France.
Marleen De MulErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Francesco GiulianiTrialog, Paris, France.
Delphine LefebvreBlueFrog Robotics, Paris, France.
Hiroshi HoshinoTrialog, Paris, France.
Isabelle FabbricottiErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Daniele SancarloFondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Grazia D'OnofrioFondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Filippo CavalloDepartment of Industrial Engineering, University of Florence, Florence, Italy.
Denis GuiotUniversité Paris-Dauphine, Paris, France.
Estibaliz Arzoz-FernandezTrialog, Paris, France.
Yasuo OkabeKyoto University, Kyoto, Japan.
Masahiko TsukamotoKobe University, Kobe, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social companion robots are getting more attention to assist elderly people to stay independent at home and to decrease their social isolation. When developing solutions, one remaining challenge is to design the right applications that are usable by elderly people. For this purpose, co-creation methodologies involving multiple stakeholders and a multidisciplinary researcher team (e.g., elderly people, medical professionals, and computer scientists such as roboticists or IoT engineers) are designed within the ACCRA (Agile Co-Creation of Robots for Ageing) project. This paper will address this research question: How can Internet of Robotic Things (IoRT) technology and co-creation methodologies help to design emotional-based robotic applications? This is supported by the ACCRA project that develops advanced social robots to support active and healthy ageing, co-created by various stakeholders such as ageing people and physicians. We demonstra this with three robots, Buddy, ASTRO, and RoboHon, used for daily life, mobility, and conversation. The three robots understand and convey emotions in real-time using the Internet of Things and Artificial Intelligence technologies (e.g., knowledge-based reasoning).

Indexed as

AgeingArtificial intelligenceBody of knowledgeCloud roboticCo-creationElderlyEmotional careInternet of robotic thingsKnowledge directory serviceOntologyReusable knowledge engineeringRoboticsSemantic reasoningSemantic web of things (SWoT)Semantic web technologiesSmart health

Identifiers

PMID34804257
PMCPMC8594653

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.