Evidence map›Paper›PMID 36937553›Full record

ArticleFrontiers in neurorobotics2023

Do different robot appearances change emotion recognition in children with ASD?

Maria J Pinto-Bernal, Sergio D Sierra M, Marcela Munera, Diego Casas, Adriana Villa-Moreno, Anselmo Frizera-Neto, Martin F Stoelen, Tony Belpaeme, Carlos A Cifuentes

Open access · goldFull text read
In one paragraph

Article in Frontiers in neurorobotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% of its field
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 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

9 authors at 6 institutions in 5 countries.

Maria J Pinto-BernalIDLab, Ghent University-imec, Ghent, Belgium.
Sergio D Sierra MBristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom.
Marcela MuneraBristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom.
Diego CasasSchool of Engineering, Science and Technology, Universidad del Rosario, Bogotá, Colombia.
Adriana Villa-MorenoTejido de Sueños, Medellín, Colombia.
Anselmo Frizera-NetoElectrical Engineering Department, Federal University of Espirito Santo, Victoria, Brazil.
Martin F StoelenFaculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway.
Tony BelpaemeIDLab, Ghent University-imec, Ghent, Belgium.
Carlos A CifuentesBristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom.
Bristol Robotics Laboratory · GBGhent University · BEUniversidad del Rosario · COUniversidade Federal do Espírito Santo · BRUniversity of the West of England · GBWestern Norway University of Applied Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Socially Assistive Robotics has emerged as a potential tool for rehabilitating cognitive and developmental disorders in children with autism. Social robots found in the literature are often able to teach critical social skills, such as emotion recognition and physical interaction. Even though there are promising results in clinical studies, there is a lack of guidelines on selecting the appropriate robot and how to design and implement the child-robot interaction. Methods: This work aims to evaluate the impacts of a social robot designed with three different appearances according to the results of a participatory design (PD) process with the community. A validation study in the emotion recognition task was carried out with 21 children with autism. Results: Spectrum disorder results showed that robot-like appearances reached a higher percentage of children's attention and that participants performed better when recognizing simple emotions, such as happiness and sadness. Discussion: This study offers empirical support for continuing research on using SAR to promote social interaction with children with ASD. Further long-term research will help to identify the differences between high and low-functioning children.

Indexed as

autism spectrum disorderemotion recognitionlow-cost social robotparticipatory designsocially assistive robotics

Identifiers

PMID36937553
PMCPMC10017775
OpenAlexW4322772965

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read3
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.