Evidence map›Paper›PMID 37868599›Full record

ArticleFrontiers in psychology2023

A social robot connected with chatGPT to improve cognitive functioning in ASD subjects.

Francesca Bertacchini, Francesco Demarco, Carmelo Scuro, Pietro Pantano, Eleonora Bilotta

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. [Recent advances in the virtual reality technology for treating children with autism spectrum disorder].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
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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.

Francesca BertacchiniDepartment of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy.
Francesco DemarcoLaboratory of Cognitive Psychology and Mathematical Modelling, University of Calabria, Rende, Italy.
Carmelo ScuroLaboratory of Cognitive Psychology and Mathematical Modelling, University of Calabria, Rende, Italy.
Pietro PantanoLaboratory of Cognitive Psychology and Mathematical Modelling, University of Calabria, Rende, Italy.
Eleonora BilottaLaboratory of Cognitive Psychology and Mathematical Modelling, University of Calabria, Rende, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. However, further research is needed to determine the effectiveness, feasibility, and acceptability of these technologies in NDDs, and to address the challenges associated with their implementation. In this work, we present the application of social robotics using a Pepper robot connected to the OpenAI system (Chat-GPT) for real-time dialogue initiation with the robot. After describing the general architecture of the system, we present two possible simulated interaction scenarios of a subject with Autism Spectrum Disorder in two different situations. Limitations and future implementations are also provided to provide an overview of the potential developments of interconnected systems that could greatly contribute to technological advancements for Neurodevelopmental Disorders (NDD).

Indexed as

Autism Spectrum Disorderseducational scenariosfacial emotions recognitionneurodevelopmental disordersphysical disabilitiessocial robotics

Identifiers

PMID37868599
PMCPMC10585023

What OpenQuestion holds

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LicenceCC BY
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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.