Comparing Imitation and Stereotyped Behaviors in Autistic Children: Robots vs. Human Operators
Exploring Imitative Abilities and Stereotypies: Comparing Robots and Human Operators in Autistic Children
1 other identifier
observational
30
1 country
1
Brief Summary
Virtual QT is a social robot designed to interact with humans in social and educational contexts. Equipped with visual and vocal interfaces, the robot can recognize and respond to various human inputs, providing emotional support and social interaction. It uses facial expressions, gestures, and movements to communicate, encouraging engagement and supporting learning through playful and educational activities. Its ergonomic design and interactive approach make it suitable for both clinical and educational settings. The aim of this study is to examine the effectiveness of the QTrobot in interventions for children with Autism Spectrum Disorder (ASD) and to assess whether children's attention and imitation are equally effective with the QTrobot compared to interacting with a human being. Furthermore, the presence of significant differences between motor and expressive imitation, when interacting with the robot as opposed to a human interlocutor, will be investigated. A key aspect of this investigation is to assess whether the presence of the QTrobot can positively influence the repetitive or stereotyped behaviors exhibited by the children, compared to interaction with a person. Additionally, to further understanding, the children's heart rate will be monitored through the use of a sensor that will allow to evaluate how heart rate affects performance outcomes during interaction with the QTrobot and with a human being. In this study, children will be recruited to take part in two separate sessions, both involving the same task. During the first session, the task will be carried out between the child and the human operator. Subsequently, in the same task, the child will interact with the QT robot. Throughout both task administrations, the child will wear a sensor to detect their heart rate. Furthermore, all task sessions will be video-recorded to conduct subsequent video analysis and make notes on imitation behaviors and stereotypical actions relevant to the study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Dec 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 16, 2023
CompletedFirst Posted
Study publicly available on registry
November 22, 2023
CompletedStudy Start
First participant enrolled
December 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2024
CompletedNovember 22, 2023
November 1, 2023
3 months
November 16, 2023
November 16, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Video analysis of performance
The videos of the interviews were analyzed by a single observer. For each child, the observer evaluated both the child's interactions, one with a person and another with the robot. The assessment included the child's attention, measured by the frequency and duration of the child's gazes towards the interaction partner. Additionally, the observer recorded the number of imitations of the partner's actions, limited to a maximum of four imitations. Finally, to evaluate repetitive and stereotyped behaviors, the observer counted the sequences of these behaviors and the number of repetitions within each sequence. A sequence was defined as a continuous repetition of the same behavior type, with pauses or interruptions considered as separate sequences. If the child paused and resumed the same or a different behavior, each restart was counted as a new sequence.
The video analysis needs approximately 15 minutes per child
Secondary Outcomes (2)
Heart rate
The test needs approximately 30 minutes
Heart rate variability
The test needs approximately 30 minutes
Study Arms (1)
Children with autism spectrum condition
Thirty Autism Spectrum Disorder (ASD) children with medium-high functioning, aged 4 to 13 years, IQ \> 75, in the absence of motor deficits due to another clinical condition.
Interventions
In a single session each child will be video-recorded while performing the task. The participant subjects will perform the same task at two different times, once with the human operator and once with the Qt robot. Both tasks will have a duration of approximately 4 minutes. During the first minute, both the operator and the Qt will introduce themselves and ask four questions to the child to deepen the acquaintance. In the second minute, the operator/Qt will tell a story. In the third minute, the operator/Qt will ask to imitate 4 motor movements, while in the fourth minute, the operator/Qt will ask to imitate 4 facial expressions.
Eligibility Criteria
Thirty children with Autism Spectrum Disorder (ASD) will participate in the study. The children with ASD will be recruited and tested at the clinical facilities of the Institute for Biomedical Research and Innovation of the National Research Council of Italy (IRIB-CNR) in Messina. To be included in the study the child needs to have an ASD diagnosis based on the Diagnostic and Statistical Manual, fifth edition (DSM-5) criteria from a licensed clinical child neuropsychiatrist but no established intellectual disability (ID) diagnosis.
You may qualify if:
- Diagnosis of Autism
- QI ≥ 75
You may not qualify if:
- Motor deficits due to another clinical condition
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Istituto per la Ricerca e l'Innovazione Biomedicalead
- Messina, Italycollaborator
Study Sites (1)
Institute for Biomedical Research and Innovation (IRIB) - National Research Council (CNR)
Messina, 98164, Italy
Related Publications (3)
Costa AP, Charpiot L, Lera FR, Ziafati P, Nazarikhorram A, van der Torre L, Steffgen GA (2018) Comparison between a person and a robot in the attention, imitation, and repetitive and stereotypical behaviors of children with Autism Spectrum Disorder. In: Proceedings workshop on Social human-robot interaction of human-care service robots at HRI2018
BACKGROUNDZheng Z, Young EM, Swanson AR, Weitlauf AS, Warren ZE, Sarkar N. Robot-Mediated Imitation Skill Training for Children With Autism. IEEE Trans Neural Syst Rehabil Eng. 2016 Jun;24(6):682-91. doi: 10.1109/TNSRE.2015.2475724. Epub 2015 Sep 3.
PMID: 26353376BACKGROUNDZorcec T, Ilijoski B, Simlesa S, Ackovska N, Rosandic M, Popcevic K, Robins B, Nitzan N, Cappel D, Blum R. Enriching Human-Robot Interaction with Mobile App in Interventions of Children with Autism Spectrum Disorder. Pril (Makedon Akad Nauk Umet Odd Med Nauki). 2021 Oct 26;42(2):51-59. doi: 10.2478/prilozi-2021-0021.
PMID: 34699714BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Flavia Marino
Institute for Biomedical Research and Innovation (IRIB) - National Research Council (CNR)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Head of Unit
Study Record Dates
First Submitted
November 16, 2023
First Posted
November 22, 2023
Study Start
December 1, 2023
Primary Completion
February 28, 2024
Study Completion
April 30, 2024
Last Updated
November 22, 2023
Record last verified: 2023-11
Data Sharing
- IPD Sharing
- Will not share