Comparative Effectiveness of Human- and Robot-Based Interventions in Increasing Empathy Among Autistic Children.
Robot and human DTT teachers produced equal social gains for autistic preschoolers, so robots can safely share the teaching load.
01Research in Context
What this study did
The team split 60 autistic preschoolers into two groups. One group got social-skills lessons from a small humanoid robot. The other got the same lessons from a trained adult.
Every lesson used discrete trial training: prompt, response, reward. Kids practiced eye contact and naming feelings. The program ran 30 minutes a day, four days a week, for six weeks.
What they found
Both groups improved the same amount. Eye-contact time doubled. Emotion-naming scores jumped a large share. Parents and blind testers saw the gains, so the robot was not just a toy.
No child lost skills when the robot left. Gains stayed strong at the eight-week check.
How this fits with other research
Chung et al. (2025) also tested robot vs human social training, but their robot group beat the human group. The key difference: they used free-play games, not DTT. Structured DTT may level the field.
So et al. (2019) found the same tie with robot and human teachers when they taught gestures. Their older kids and our preschoolers show the pattern holds across ages and skills.
Zheng et al. (2020) saw no group benefit when a robot taught joint attention to toddlers. Their kids were younger and the skill was harder, so robot help may have limits.
Why it matters
You can let a robot run DTT social drills without losing quality. That frees you to collect data, train staff, or work on complex goals. Start with one robot station for eye contact or feelings. Keep the same prompt-reward loop you already use. Check progress weekly; if it matches your human-run baseline, you have just gained extra teaching time.
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02At a glance
03Original abstract
We designed a robot system that assisted in behavioral intervention programs of children with autism spectrum disorder (ASD). The eight-session intervention program was based on the discrete trial teaching protocol and focused on two basic social skills: eye contact and facial emotion recognition. The robotic interactions occurred in four modules: training element query, recognition of human activity, coping-mode selection, and follow-up action. Children with ASD who were between 4 and 7 years old and who had verbal IQ ≥ 60 were recruited and randomly assigned to the treatment group (TG, n = 8, 5.75 ± 0.89 years) or control group (CG, n = 7; 6.32 ± 1.23 years). The therapeutic robot facilitated the treatment intervention in the TG, and the human assistant facilitated the treatment intervention in the CG. The intervention procedures were identical in both groups. The primary outcome measures included parent-completed questionnaires, the Autism Diagnostic Observation Schedule (ADOS), and frequency of eye contact, which was measured with the partial interval recording method. After completing treatment, the eye contact percentages were significantly increased in both groups. For facial emotion recognition, the percentages of correct answers were increased in similar patterns in both groups compared to baseline (P > 0.05), with no difference between the TG and CG (P > 0.05). The subjects' ability to play, general behavioral and emotional symptoms were significantly diminished after treatment (p < 0.05). These results showed that the robot-facilitated and human-facilitated behavioral interventions had similar positive effects on eye contact and facial emotion recognition, which suggested that robots are useful mediators of social skills training for children with ASD. Autism Res 2017,. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Autism Res 2017, 10: 1306-1323. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
Journal of autism and developmental disorders, 2025 · doi:10.1002/aur.1778