Robot-Assisted Training of Joint Attention Skills in Children Diagnosed with Autism

Kajopoulos, Jasmin; Wong, Adison; Yuen, Anthony Wong Chen; Dung, Tran Anh; Kee, Tan Yeow; Wykowska, Agnieszka

doi:10.1007/978-3-319-25554-5_30

Cited by 47 publications

(42 citation statements)

References 24 publications

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“…According to several studies (for a review see Cabibihan, Javed & Ang, 2013), individuals with ASD open up to interaction with robots, with which they can train their social behaviours and skills, such as emotion recognition or joint attention. Most importantly, those skills seem to be transferred from human-robot interaction to interaction with other humans (Dautenhahn, 2007;Kajopoulos et al, 2015;. Similarly, several studies speak in favour of the positive effects of social robots as companions for the elderly (see Broekens, Heerink, & Rosendal, 2009 for review).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Adopting the intentional stance toward natural and artificial agents

Perez-Osorio

Wykowska

2019

Philosophical Psychology

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In our daily lives, we need to predict and understand others' behaviour in order to navigate through our social environment. Predictions concerning other humans' behaviour usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called adoption of the intentional stance. In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture and human-robot interaction. We propose that adopting the intentional stance might be a central factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance, and examines literature related to the development of intentional stance across the life span. Subsequently, it discusses cultural norms as grounded in the intentional stance and finally, it focuses on the issue of adopting the intentional stance towards artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how (and when) we predict and explain robots' behaviour by referring to mental states is of high interest. The paper concludes with the discussion of the ethical consequences of robots towards which we adopt the intentional stance, and sketches future directions in research on this topic.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Adopting the intentional stance toward natural and artificial agents

Perez-Osorio

Wykowska

2019

Philosophical Psychology

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“…However, some research has used non-humanoid robots [11,[80][81][82][83][84]. To employ humanoid robots in autism studies, one has to overcome two technical challenges: (1) how to control the movements of the robot, and (2) how to obtain the input from the participant.…”

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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“…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, 2019;Bekele, Crittendon, Swanson, Sarkar, & Warren, 2014;Boccanfuso et al, 2017;Chevalier et al, 2017;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, 2015;Zheng et al, 2013;Zheng et al, 2018), often through a spatial attention-cueing paradigm: The child is prompted by the robot to look in a given direction in which a visual target is displayed (see Fig. 2).…”

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

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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Robot-Assisted Training of Joint Attention Skills in Children Diagnosed with Autism

Cited by 47 publications

References 24 publications

Adopting the intentional stance toward natural and artificial agents

Adopting the intentional stance toward natural and artificial agents

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

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