Evidence map›Paper›PMID 40731038›Full record

Trial reportScientific reports2025

Enhancing theory of mind in autism through humanoid robot interaction in a randomized controlled trial.

Davide Ghiglino, Federica Floris, Davide De Tommaso, Nicola Severino Russi, Alessia Frulli, Silvia Moretti, Agnieszka Wykowska

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors.

Davide GhiglinoSocial Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Genova, 16152, Italy. davide.ghiglino@iit.it.
Federica FlorisPiccolo Cottolengo Genovese di Don Orione, Via Paverano 55, Genova, 16143, Italy.
Davide De TommasoSocial Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Genova, 16152, Italy.
Nicola Severino RussiSocial Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Genova, 16152, Italy.
Alessia FrulliSocial Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Genova, 16152, Italy.
Silvia MorettiSocial Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Genova, 16152, Italy.
Agnieszka WykowskaSocial Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Via Enrico Melen 83, Genova, 16152, Italy. agnieszka.wykowska@iit.it.

Funding

Italian Government Cod. PNC0000007 - CUP: B53C22006960001
6 · The paper itself

Abstract

Autism Spectrum Disorder presents significant challenges in social cognition, particularly in understanding others' thoughts, emotions, and intentions. Traditional interventions often rely on role-playing games with human therapists or inanimate objects, but these approaches may lack consistency and ecological validity. This study integrated Applied Behavior Analysis principles with robot-assisted training to improve social cognition in children with autism. A randomized, two-period crossover trial involving 32 children (mean age = 7.53 ± 1.32 years, 7 females) compared robot-assisted training using the humanoid robot iCub with standard therapy and an active human-assisted control condition. During robot-assisted sessions, children engaged in structured social role-play scenarios, practicing essential social skills such as perspective-taking, joint attention, and recognizing intentions. The robot's human-like appearance and adaptive behavior provided an engaging, predictable learning environment. Results indicated that robot-assisted training significantly improved social cognition, in contrast to traditional therapy and the human-assisted control group, where no improvements were found. Importantly, the active human control confirmed that these improvements were driven by the robot's presence rather than the protocol itself. These findings demonstrate the potential of humanoid robots as effective therapeutic tools for enhancing social skills in children with autism, offering a scalable and engaging complement to existing clinical practices. Clinical Trial Registration: ISRCTN15341724, registered on May 6, 2025. Available at: https://www.isrctn.com/ISRCTN15341724 .

Indexed as

Autism Spectrum DisorderAutistic DisorderRoboticsTheory of MindChildCross-Over StudiesFemaleHumansMaleSocial CognitionApplied behavior analysis (ABA)Autism spectrum disorder (ASD)Humanoid robotsRobot-Assisted trainingSocial cognition trainingTheory of Mind (ToM)

Identifiers

PMID40731038
PMCPMC12307709

What OpenQuestion holds

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Registered trials

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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.