Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality

The use of social robots in therapy for children with autism has been explored for more than 20 years, but there still is limited clinical evidence. The work presented here provides a systematic approach to evaluating both efficacy and effectiveness, bridging the gap between theory and practice by targeting joint attention, imitation, and turn-taking as core developmental mechanisms that can make a difference in autism interventions. We present two randomized clinical trials with different robot-assisted therapy implementations aimed at young children. The first is an efficacy trial (<i>n</i> = 69; mean age = 4.4 years) showing that 12 biweekly sessions of in-clinic robot-assisted therapy achieve equivalent outcomes to conventional treatment but with a significant increase in the patients' engagement. The second trial (<i>n</i> = 63; mean age = 5.9 years) evaluates the effectiveness in real-world settings by substituting the clinical setup with a simpler one for use in schools or homes. Over the course of a modest dosage of five sessions, we show equivalent outcomes to standard treatment. Both efficacy and effectiveness trials lend further credibility to the beneficial role that social robots can play in autism therapy while also highlighting the potential advantages of portable and cost-effective setups.

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Publication Details

Journal
Science Robotics
Published
2025-12-17
DOI
https://doi.org/10.1126/scirobotics.adl2266
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43
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article

Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality

Bram Vanderborght, James Kennedy, Alexandre Mazel, Cristina Costescu et al.
1 citations
Science Robotics
Autism Spectrum Disorder Research
1.43
article

Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality

Bram Vanderborght, James Kennedy, Alexandre Mazel, Cristina Costescu, Anamaria Ciocan, Pablo Gómez Esteban, Hoang-Long Cao, Emmanuel Senft, Mihaela Selescu, Paul Baxter, Erik Billing, Tony Belpaeme, Daniel Hernández García, Daniel David, Tom Ziemke, Haibin Cai, Serge Thill, David Vernon, Honghai Liu, Silviu Matu
article en
1 citations

Abstract

The use of social robots in therapy for children with autism has been explored for more than 20 years, but there still is limited clinical evidence. The work presented here provides a systematic approach to evaluating both efficacy and effectiveness, bridging the gap between theory and practice by targeting joint attention, imitation, and turn-taking as core developmental mechanisms that can make a difference in autism interventions. We present two randomized clinical trials with different robot-assisted therapy implementations aimed at young children. The first is an efficacy trial (<i>n</i> = 69; mean age = 4.4 years) showing that 12 biweekly sessions of in-clinic robot-assisted therapy achieve equivalent outcomes to conventional treatment but with a significant increase in the patients' engagement. The second trial (<i>n</i> = 63; mean age = 5.9 years) evaluates the effectiveness in real-world settings by substituting the clinical setup with a simpler one for use in schools or homes. Over the course of a modest dosage of five sessions, we show equivalent outcomes to standard treatment. Both efficacy and effectiveness trials lend further credibility to the beneficial role that social robots can play in autism therapy while also highlighting the potential advantages of portable and cost-effective setups.

Science RoboticsVol. 10(109)
Linköping University (SE), Vrije Universiteit Brussel (BE), Loughborough University (GB), Radboud University Nijmegen (NL), Can Tho University (VN), University of Skövde (SE), Ghent University Hospital (BE), Babeș-Bolyai University (RO), Heriot-Watt University (GB), Ghent University (BE), SoftBank Robotics (France) (FR), Human Computer Interaction (Switzerland) (CH), Carnegie Mellon University Africa (RW), University of Lincoln (GB), University of Portsmouth (GB), Idiap Research Institute (CH), University of Plymouth (GB), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 13%
Autism Spectrum Disorder Research
1.43
DOIOpen Access PDFOpenAlex
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