Using robot animation to promote gestural skills in children with autism spectrum disorders

So, Wing-Chee; Wong, Miranda Kit-Yi; Cabibihan, John-John; Lam, Carrie Ka-Yee; Chan, Rosanna Yuen-Yan; Qian, Huihuan

doi:10.1111/jcal.12159

Cited by 46 publications

(31 citation statements)

References 50 publications

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“…Children on the spectrum lack the ability to properly communicate their needs [64,103]. Generalization of skills is usually done with other children.…”

Section: Resultsmentioning

confidence: 99%

“…Children were found to be more intrigued to interact with robots as compared to humans due to the limited complexity of robots [16]. There have been many reported evidence of the efficacy of using robots for ASD intervention [16,98,103]. Many studies have demonstrated that robots can be used to elicit many behaviors, such as imitation, joint attention, eye contact, and gestural responses [19][20][21]47,113].…”

Section: Introductionmentioning

confidence: 99%

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Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Alhaddad

Cabibihan

Bonarini

2018

Int J of Soc Robotics

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Social robots have gained a lot of attention recently as they have been reported to be effective in supporting therapeutic services for children with autism. However, children with autism may exhibit a multitude of challenging behaviors that could be harmful to themselves and to others around them. Furthermore, social robots are meant to be companions and to elicit certain social behaviors. Hence, the presence of a social robot during the occurrence of challenging behaviors might increase any potential harm. In this paper, we identified harmful scenarios that might emanate between a child and a social robot due to the manifestation of challenging behaviors. We then quantified the harm levels based on severity indices for one of the challenging behaviors (i.e. throwing of objects). Our results showed that the overall harm levels based on the selected severity indices are relatively low compared to their respective thresholds. However, our investigation of harm due to throwing of a small social robot to the head revealed that it could potentially cause tissue injuries, subconcussive or even concussive events in extreme cases. The existence of such behaviors must be accounted for and considered when developing interactive social robots to be deployed for children with autism.

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“…Children on the spectrum lack the ability to properly communicate their needs [64,103]. Generalization of skills is usually done with other children.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Alhaddad

Cabibihan

Bonarini

2018

Int J of Soc Robotics

View full text Add to dashboard Cite

show abstract

“…The ability to convey emotions, exhibiting different personalities, employing communication cues, and forming social relationships are some of the traits that make social robots different from typical toys [8][9] [10]. Introducing a new stimuli (e.g.…”

Section: Introductionmentioning

confidence: 99%

Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts

et al. 2019

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There is a growing interest in social robots to be considered in the therapy of children with autism due to their effectiveness in improving the outcomes. However, children on the spectrum exhibit challenging behaviors that need to be considered when designing robots for them. A child could involuntarily throw a small social robot during meltdown and that could hit another person's head and cause harm (e.g. concussion). In this paper, the application of soft materials is investigated for its potential in attenuating head's linear acceleration upon impact. The thickness and storage modulus of three different soft materials were considered as the control factors while the noise factor was the impact velocity. The design of experiments was based on Taguchi method. A total of 27 experiments were conducted on a developed dummy head setup that reports the linear acceleration of the head. ANOVA tests were performed to analyze the data. The findings showed that the control factors are not statistically significant in attenuating the response. The optimal values of the control factors were identified using the signal-to-noise (S/N) ratio optimization technique. Confirmation runs at the optimal parameters (i.e. thickness of 3 mm and 5 mm) showed a better response as compared to other conditions. Designers of social robots should consider the application of soft materials to their designs as it help in reducing the potential harm to the head.

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“…Many studies have employed humanoid robots for treatment plans for children with ASD [66][67][68][69][70][71][72][73][74][75][76][77][78][79]. However, some research has used non-humanoid robots [11,[80][81][82][83][84].…”

Section: Social Robotsmentioning

confidence: 99%

Technology-Facilitated Diagnosis and Treatment of Individuals with Autism Spectrum Disorder: An Engineering Perspective

Liu

Zhao

et al. 2017

Applied Sciences

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Abstract:The rapid development of computer and robotic technologies in the last decade is giving hope to perform earlier and more accurate diagnoses of the Autism Spectrum Disorder (ASD), and more effective, consistent, and cost-conscious treatment. Besides the reduced cost, the main benefit of using technology to facilitate treatment is that stimuli produced during each session of the treatment can be controlled, which not only guarantees consistency across different sessions, but also makes it possible to focus on a single phenomenon, which is difficult even for a trained professional to perform, and deliver the stimuli according to the treatment plan. In this article, we provide a comprehensive review of research on recent technology-facilitated diagnosis and treat of children and adults with ASD. Different from existing reviews on this topic, which predominantly concern clinical issues, we focus on the engineering perspective of autism studies. All technology facilitated systems used for autism studies can be modeled as human machine interactive systems where one or more participants would constitute as the human component, and a computer-based or a robotic-based system would be the machine component. Based on this model, we organize our review with the following questions: (1) What are presented to the participants in the studies and how are the content and delivery methods enabled by technologies? (2) How are the reactions/inputs collected from the participants in response to the stimuli in the studies? (3) Are the experimental procedure and programs presented to participants dynamically adjustable based on the responses from the participants, and if so, how? and (4) How are the programs assessed?

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Using robot animation to promote gestural skills in children with autism spectrum disorders

Cited by 46 publications

References 50 publications

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Head Impact Severity Measures for Small Social Robots Thrown During Meltdown in Autism

Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts

Technology-Facilitated Diagnosis and Treatment of Individuals with Autism Spectrum Disorder: An Engineering Perspective

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