Joint Attention using Human-Robot Interaction: Impact of sensory preferences of children with autism

Chevalier, Pauline; Martin, Jean‐Claude; Isableu, Brice; Bazile, Christophe; Iacob, David-Octavian; Tapus, Adriana

doi:10.1109/roman.2016.7745218

Cited by 24 publications

(13 citation statements)

References 20 publications

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“…Humanoid robot Nao from Aldebaran Robotics Company is one of the most popular robots used in autism studies [85,[92][93][94][95][96][97][98][99]. Nao is a child-sized robot with plastic body (58 cm tall and 4.3 kg weight).…”

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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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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“…The comparison of the behavioral metrics of eight children diagnosed with ASD before and after six months of training the joint attention skill thanks to GOLIAH showed that their body and head displacement and gaze behavior were closer to the pattern of typically developed children. In Chevalier et al (2016), the authors used a spatial-cueing paradigm task to assess the different behavioral responses to a joint attention prompt from a robot partner regarding their participants' sensory profiles. They hypothesized that the different sensory profiles in children diagnosed with ASD could lead to different behavior, and that assessing these interpersonal differences could help the knowledge of ASD and to better tune socially assistive robotics for this population.…”

Section: Examining the Mechanisms Of Joint Attention In Children Withmentioning

confidence: 99%

“…Similarly, Anzalone et al (2019) discussed that their automated setup offers limited freedom and that children find their behavior constrained. Chevalier et al (2016) reported that they had to use a Wizard of Oz setup (i.e., the experimenter was controlling the robot instead of having an automated system). The face tracker technology they used during the experiment was unable to follow accurately the children's faces as they covered their heads with their hands or they looked straight down, limiting the accuracy of the technology.…”

Section: Examining the Mechanisms Of Joint Attention In Children Withmentioning

confidence: 99%

Examining joint attention with the use of humanoid robots-A new approach to study fundamental mechanisms of social cognition

et al. 2019

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This article reviews methods to investigate joint attention and highlights the benefits of new methodological approaches that make use of the most recent technological developments, such as humanoid robots for studying social cognition. After reviewing classical approaches that address joint attention mechanisms with the use of controlled screen-based stimuli, we describe recent accounts that have proposed the need for more natural and interactive experimental protocols. Although the recent approaches allow for more ecological validity, they often face the challenges of experimental control in more natural social interaction protocols. In this context, we propose that the use of humanoid robots in interactive protocols is a particularly promising avenue for targeting the mechanisms of joint attention. Using humanoid robots to interact with humans in naturalistic experimental setups has the advantage of both excellent experimental control and ecological validity. In clinical applications, it offers new techniques for both diagnosis and therapy, especially for children with autism spectrum disorder. The review concludes with indications for future research, in the domains of healthcare applications and human-robot interaction in general.

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“…Kajopoulos et al, 2015); B. Setup using the robot Nao (redrawn from Chevalier, 2016) Following this line of reasoning, several authors focused on training or assessing the joint attention skills of children diagnosed with ASD with the use of interactive sessions with a robot (Anzalone et al, 2014(Anzalone et al, , 2018Bekele, Crittendon, Swanson, Sarkar, & Warren, 2014;Boccanfuso et al, 2017;Chevalier et al, 2016;David, Costescu, Matu, Szentagotai, & Dobrean, 2018;Duquette, Michaud, & Mercier, 2008;Kajopoulos et al, 2015;Michaud et al, 2007;Simut, Vanderfaeillie, Peca, Van de Perre, & Vanderborght, 2016;Taheri, Meghdari, Alemi, & Pouretemad, 2018;Warren et al, 2013;Zheng et al, 2013Zheng et al, , 2018, often through a spatial attention cueing paradigm: the child is prompted by the robot to look in a given direction where a visual target is displayed (see Figure 2). The robots can use increasing degrees of bids for joint attention,…”

Section: Application Of Joint Attention Studies In Human-robot Interamentioning

confidence: 99%

Examining joint attention with the use of humanoid robots – a new approach to study fundamental mechanisms of social cognition

Chevalier¹,

Kompatsiari²,

Ciardo³

et al. 2019

Preprint

Self Cite

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This paper reviews methods to investigate joint attention, and highlights the benefits of new methodological approaches that make use of most recent technological developments such as humanoid robots for studying social cognition. After reviewing classical approaches addressing joint attention mechanisms with the use of controlled screen-based stimuli, we describe recent accounts that propose the need for more natural and interactive experimental protocols. Although the recent approaches allow for more ecological validity, they often face the challenges of experimental control in more natural social interaction protocols. In this context, we propose that the use of humanoid robots in interactive protocols is a particularly promising avenue to target the mechanisms of joint attention. Using humanoid robots to interact with humans in naturalistic experimental setups has the advantage of both excellent experimental control and ecological validity. In clinical applications, it offers new techniques for diagnosis and therapy, especially for children with Autism Spectrum Disorder. The review concludes with indications for future research, in the domain of healthcare applications and human-robot interaction in general.

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Joint Attention using Human-Robot Interaction: Impact of sensory preferences of children with autism

Cited by 24 publications

References 20 publications

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

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

Examining joint attention with the use of humanoid robots-A new approach to study fundamental mechanisms of social cognition

Examining joint attention with the use of humanoid robots – a new approach to study fundamental mechanisms of social cognition

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