Evidence map›Paper›PMID 31848909›Full record

ReviewPsychonomic bulletin & review2020

Examining joint attention with the use of humanoid robots-A new approach to study fundamental mechanisms of social cognition.

Pauline Chevalier, Kyveli Kompatsiari, Francesca Ciardo, Agnieszka Wykowska

Abstract readReview
In one paragraph

Review in Psychonomic bulletin & review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Social Robots to Test Flexibility of Human Social Cognition.International journal of social robotics · 2020
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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

4 authors.

Pauline ChevalierSocial Cognition in Human-Robot Interaction Unit, Istituto Italiano di Tecnologia, Genoa, Italy. pauline.chevalier@iit.it.ORCID http://orcid.org/0000-0002-3992-744X
Kyveli KompatsiariSocial Cognition in Human-Robot Interaction Unit, Istituto Italiano di Tecnologia, Genoa, Italy.
Francesca CiardoSocial Cognition in Human-Robot Interaction Unit, Istituto Italiano di Tecnologia, Genoa, Italy.
Agnieszka WykowskaSocial Cognition in Human-Robot Interaction Unit, Istituto Italiano di Tecnologia, Genoa, Italy.

Funding

H2020 European Research Council 715058Minded Program - Marie Skłodowska-Curie 754490
6 · The paper itself

Abstract

This article reviews methods to investigate joint attention and highlights the benefits of new methodological approaches that make use of the most recent technological developments, such as humanoid robots for studying social cognition. After reviewing classical approaches that address joint attention mechanisms with the use of controlled screen-based stimuli, we describe recent accounts that have proposed the need for more natural and interactive experimental protocols. Although the recent approaches allow for more ecological validity, they often face the challenges of experimental control in more natural social interaction protocols. In this context, we propose that the use of humanoid robots in interactive protocols is a particularly promising avenue for targeting the mechanisms of joint attention. Using humanoid robots to interact with humans in naturalistic experimental setups has the advantage of both excellent experimental control and ecological validity. In clinical applications, it offers new techniques for both diagnosis and therapy, especially for children with autism spectrum disorder. The review concludes with indications for future research, in the domains of healthcare applications and human-robot interaction in general.

Indexed as

AttentionAutism Spectrum DisorderInterpersonal RelationsRoboticsSocial PerceptionHumansAutismHealthy and clinical populationsHuman–robot interactionJoint attentionReview

Identifiers

PMID31848909
PMCPMC7093354

What OpenQuestion holds

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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.