Impact of sensory preferences of individuals with autism on the recognition of emotions expressed by two robots, an avatar, and a human

Chevalier, Pauline; Martin, Jean‐Claude; Isableu, Brice; Bazile, Christophe; Tapus, Adriana

doi:10.1007/s10514-016-9575-z

Cited by 41 publications

(21 citation statements)

References 55 publications

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“…It was evident that some researchers used virtual robots in helping CWA as they are reported to bring several benefits to CWAA [55,56]. However, this review paper takes into account only published works that optimized physical robots for child-robot interaction.…”

Section: Robotsmentioning

confidence: 99%

Leveraging Robotics Research for Children with Autism: A Review

Ismail

Verhoeven

Dambre

et al. 2018

Int J of Soc Robotics

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Robotics research in helping children with autism has gained increased attention in recent years. Children with autism often struggle with neurodevelopmental disorders that affect their lives particularly in communication skills, social interaction and their repetitive stereotyped behavior. In this article, we highlight previous findings on human-robot interaction for children with autism. To date, it has been claimed that child-robot interaction is a beneficial approach in helping children with autism to improve their quality of life. Based on an extensive search of the literature, we identified three major research gaps: (1) diversity in research focus, (2) bias contribution in robotics research towards specific behavior impairments in autism and, (3) effectiveness of human-robot interaction after robot-based intervention program. Therefore, this review paper shall identify and thoroughly discuss published works that address the research gaps found in this areas. This article is therefore seen as a crucial step in bridging the gap between robotics research and children with autism. The results presented could be beneficial for researchers in determining future directions for robotics research in helping children with autism.

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Section: Robotsmentioning

confidence: 99%

Leveraging Robotics Research for Children with Autism: A Review

Ismail

Verhoeven

Dambre

et al. 2018

Int J of Soc Robotics

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“…The robot's skin is made of a biomimetic polymer called Frubber, which enables it to make a rich facial expressions. Some research used both Nao and Zeno robots, such as [104].…”

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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“…For instance, these robotic agents are equipped with certain verbal (speech), non-verbal (joint and directed attention, emotion and gesture) and interpersonal (turn taking and sharing) functions to study and intervene with children with autism spectrum disorder (ASD) who may lack such social skills. The Special Issue contribution of Chevalier et al (2016) focuses on the over-reliance on proprioceptive (ability to determine body segment positions and limb movements) information in ASD populations. The authors present a method to create a visual versus proprioceptive sensory reliance profile of a child, and study how facial and body features of a social agent affects each profile group's recognition of the agent's emotion.…”

Section: Social Robotic Aidesmentioning

confidence: 99%