Evidence map›Paper›PMID 28815460›Full record

ReviewScience and engineering ethics2018

Developing a System for Processing Health Data of Children Using Digitalized Toys: Ethical and Privacy Concerns for the Internet of Things Paradigm.

María Luisa Martín-Ruíz, Celia Fernández-Aller, Eloy Portillo, Javier Malagón, Cristina Del Barrio

Abstract readReview
PubMed Publisher
In one paragraph

Review in Science and engineering ethics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Using Internet of Things for Child Care: A Systematic Review.International journal of preventive medicine · 2025
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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

5 authors.

María Luisa Martín-RuízGrupo de Investigación Tecnologías para la Sociedad de la Información y el Conocimiento (T>SIC). Campus Sur, Universidad Politécnica de Madrid. Ctra. de Valencia Km. 7, 28031, Madrid, Spain. marialuisa.martinr@upm.es.ORCID 0000-0002-4355-3620
Celia Fernández-AllerGrupo de Investigación Tecnologías para la Sociedad de la Información y el Conocimiento (T>SIC). Campus Sur, Universidad Politécnica de Madrid. Ctra. de Valencia Km. 7, 28031, Madrid, Spain.
Eloy PortilloGrupo de Investigación Tecnologías para la Sociedad de la Información y el Conocimiento (T>SIC). Campus Sur, Universidad Politécnica de Madrid. Ctra. de Valencia Km. 7, 28031, Madrid, Spain.
Javier MalagónGrupo de Investigación Tecnologías para la Sociedad de la Información y el Conocimiento (T>SIC). Campus Sur, Universidad Politécnica de Madrid. Ctra. de Valencia Km. 7, 28031, Madrid, Spain.
Cristina Del BarrioResearch Group INEXE: Inclusión y exclusión educativa [Inclusion and Exclusion in Education], Universidad Autónoma de Madrid, Cantoblanco. C/ Iván Pavlov 6, 28049, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EDUCERE (Ubiquitous Detection Ecosystem to Care and Early Stimulation for Children with Developmental Disorders) is a government funded research and development project. EDUCERE objectives are to investigate, develop, and evaluate innovative solutions for society to detect changes in psychomotor development through the natural interaction of children with toys and everyday objects, and perform stimulation and early attention activities in real environments such as home and school. In the EDUCERE project, an ethical impact assessment is carried out linked to a minors' data protection rights. Using a specific methodology, the project has achieved some promising results. These include use of a prototype of smart toys to detect development difficulties in children. In addition, privacy protection measures which take into account the security concerns of health data, have been proposed and applied. This latter security framework could be useful in other Internet of Things related projects. It consists of legal and technical measures. Special attention has been placed in the transformation of bulk data such as acceleration and jitter of toys into health data when patterns of atypical development are found. The article describes the different security profiles in which users are classified.

Indexed as

Computer SecurityConfidentialityInternetPlay and PlaythingsPrivacyBig DataChildChild DevelopmentComputersData CollectionDecision Support Systems, ClinicalDevelopmental DisabilitiesElectronic Data ProcessingElectronic Health RecordsHumansMotor SkillsBig dataInternet of thingsMotor developmentPrivacySecurity

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.