scholarly journals Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5166
Author(s):  
Sandra Cano ◽  
Carina S. González ◽  
Rosa María Gil-Iranzo ◽  
Sergio Albiol-Pérez

Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when social robots are designed for children, and especially those with autism spectrum disorder (ASD). Social robots are based on cognitive-affective models, which allow them to communicate with people following social behaviors and rules. However, interactions between a child and a robot may change or be different compared to those with an adult or when the child has an emotional deficit. In this study, we systematically reviewed studies related to computational models of emotions for children with ASD. We used the Scopus, WoS, Springer, and IEEE-Xplore databases to answer different research questions related to the definition, interaction, and design of computational models supported by theoretical psychology approaches from 1997 to 2021. Our review found 46 articles; not all the studies considered children or those with ASD.

Author(s):  
Amily Fikry ◽  
◽  
Siti Fatahiyah Mahamood ◽  
Mohd Nor Mamat ◽  
Hamizah Hassan ◽  
...  

Autism Spectrum Disorder (ASD) is a developmental disorder that encompasses varieties of disorder with impairments in social relationships, communication and imaginative display. In an attempt to reduce the severity of the said symptoms, these ASD children have been given either pharmacological or non-pharmacological treatment. The treatment given is hope to improve quality of life of the ASD children and their respective family. Thus, by using Rasch Model, this paper attempts to look at the significant effect of pharmacological and non-pharmacological treatment on quality of life of Malaysian’s children with Autism and their respective family. A total of 31 questionnaires (with 16 returned and usable questionnaires) were distributed to parents of ASD child at public rehab center located in Eastern and Central Region of Malaysia. By using Bond and Fox Steps of Rasch Measurement Model, reliability analysis of responses were analyzed and research questions were answered. Conclusions and recommendations were discussed at the end of the paper.


2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512505093p1-7512505093p1
Author(s):  
Emily Mahoney ◽  
Diane Long ◽  
Tina Caswell

Abstract Date Presented 04/13/21 The purpose of this phenomenological study was to highlight the lived experience of adolescents with autism spectrum disorder who participated in equine-assisted activities and therapies (EAA/T) using semistructured interviews and thematic analysis. Research questions explored the client's perception of skills learned and whether clients recognized the generalization of skills. Implications for OT and conceptualizing the links between OT and EAA/T will be presented. Primary Author and Speaker: Emily Mahoney Additional Authors and Speakers: Elizabeth Torrez, Mekenzie Keenportz, Kelly Maki, Tara Rudkoski, and Katie Hawk


2020 ◽  
Vol 30 (3) ◽  
Author(s):  
S. Anthony Thompson ◽  
Kelley Jo Burke

As a playwright-actor-researcher, Burke (2010) created, toured, and published a one-woman play, Ducks on the Moon (DOTM) about her (and her family’s) journey from denial to acceptance to celebration of her youngest son’s diagnosis of autism spectrum disorder (ASD) during his first 5 years. DOTM is not only a drama, but also an arts-based educational research (ABER) project; Burke (2010) labelled her methodology “performative memoir.” In this current project, seven songs were added to the play. As authors-researchers we performed DOTM as a workshop to pre-service and in-service teachers. In particular, we wanted to see if DOTM might serve as professional development (PD) or might become part of a teacher education curriculum. The research questions were as follows: What was the audience’s general reaction to the play-with-music DOTM? And, what might be the implications of such an experience for educators? Did the audience feel that the play-with-music was useful as a vehicle to relay information about ASD and family–professional relationships? Might DOTM serve as PD for in-service teachers or as part of curriculum to prepare pre-service teachers for inclusive practice? We uncovered five inter-related themes: the audience enjoyed DOTM and claimed it was also it was educational, they experienced a range of emotions, they stated that parents need to come to terms with their child’s diagnosis in their own time, many teachers identified with Burke as a mother, and finally, DOTM would make productive PD.


Deep Learning (DL) techniques are computational models based on representation learnings. They are demonstrated to be the best reasonable strategies to deal with information with various portrayals and with numerous degrees of reflection. Recognizable proof of ASD has been a test as there is no demonstrated reason for it. The issue has been tended to by numerous specialists with the utilization of fMRI. As MRI and its varieties have 3D representations, Machine Learning and Deep Learning techniques are appropriate to deal with and handle them. This paper extends the recognizable proof of ASD from fMRI pictures utilizing Autoencoder organize. The examinations are led on the benchmark dataset ABIDE II. Results uncover that DL strategies are bringing out better classifiers delivering a great degree of arrangement exactness.


Animals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 716 ◽  
Author(s):  
Richard Griffioen ◽  
Steffie van der Steen ◽  
Ralf F. A. Cox ◽  
Theo Verheggen ◽  
Marie-Jose Enders-Slegers

Synchronizing behaviors in interactions, such as during turn-taking, are often impaired in children with Autism Spectrum Disorder. Therapies that focus on turn-taking generally lead to increased social skills, less interruptions, and silent pauses, however a positive non-demanding environment is therefore thought to be beneficial. Such an environment can be achieved by incorporating animals into therapy. Our study was guided by the following research questions: (1) How can we characterize the interaction between child and therapist during dolphin-assisted therapy, with regard to synchrony in verbalizations (turn-taking) and (2) does synchrony change over the course of six sessions of therapy? To answer these questions, we performed a cross-recurrence quantification analysis on behavioral data of five children, to give a detailed view of the interaction between therapist and child in the context of dolphin-assisted therapy. We were able to detect synchrony (i.e., adequate turn-taking) in all dyads, although not all children improved equally. The differences might be explained by a delayed reaction time of some children, and their level of language development.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ryan Anthony J. de Belen ◽  
Tomasz Bednarz ◽  
Arcot Sowmya ◽  
Dennis Del Favero

Abstract The current state of computer vision methods applied to autism spectrum disorder (ASD) research has not been well established. Increasing evidence suggests that computer vision techniques have a strong impact on autism research. The primary objective of this systematic review is to examine how computer vision analysis has been useful in ASD diagnosis, therapy and autism research in general. A systematic review of publications indexed on PubMed, IEEE Xplore and ACM Digital Library was conducted from 2009 to 2019. Search terms included [‘autis*’ AND (‘computer vision’ OR ‘behavio* imaging’ OR ‘behavio* analysis’ OR ‘affective computing’)]. Results are reported according to PRISMA statement. A total of 94 studies are included in the analysis. Eligible papers are categorised based on the potential biological/behavioural markers quantified in each study. Then, different computer vision approaches that were employed in the included papers are described. Different publicly available datasets are also reviewed in order to rapidly familiarise researchers with datasets applicable to their field and to accelerate both new behavioural and technological work on autism research. Finally, future research directions are outlined. The findings in this review suggest that computer vision analysis is useful for the quantification of behavioural/biological markers which can further lead to a more objective analysis in autism research.


2021 ◽  
Vol 6 ◽  
pp. 239694152199901
Author(s):  
MY Savana Bak ◽  
Ana D Dueñas ◽  
Sarah M Avendaño ◽  
Ariel C Graham ◽  
Tavon Stanley

Tacts facilitate social interaction, and a strong tact repertoire can lead to the development of other verbal operants. For children with autism spectrum disorder (ASD), the development of a tact repertoire can reduce stereotypical and repetitive language and increase social communication, as functional language may reduce the amount of stereotypical vocal behavior that children engage in. However, teaching tact repertoires to children with ASD that maintain and generalize is difficult. The current study reviewed tact interventions for children with ASD from 2000 to 2019 to provide an overview of current tact interventions, their effectiveness, and the inclusion of intervention components that may promote maintenance and generalization of learned tacts in children with ASD. Fifty-one studies were included in the review. Of the studies that met criteria for effect size calculations 87.18% of the interventions showed excellent or high effect. Although many of the studies focused more on stimulus control to answer specific research questions, some studies implemented intervention components and procedures that could promote acquisition and generalization of learned tacts in children with ASD. We discuss implications and the need to increase research regarding tact intervention components that can increase generalization in children with ASD.


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