Sensor-Based Technology for Social Information Processing in Autism: A Review

Kowallik, Andrea Erika; Schweinberger, Stefan R.

doi:10.3390/s19214787

Cited by 17 publications

(15 citation statements)

References 88 publications

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“…In many ways, digital social communication and telehealth systems may promote a more predictable and controlled mode of interaction, thus resonating well with autistic individuals' tendency to "systemize," i.e., their drive to predict, control or construct systems [36] . This could explain why technology-based interventions may be promising for people with autism (for reviews, see Pennisi et al, 2016;Kowallik & Schweinberger, 2019; see also next section) [37,38] . In school contexts, this is well illustrated by case reports of two boys with high-functional autism [39] .…”

Section: Pandemic Effects On Individuals With Autism: Moderating Effects Of Additional Intellectual Disability and Other Developmental DImentioning

confidence: 99%

Psychosocial and Behavioural Effects of the COVID-19 Pandemic on Children with Autism and their Families: A Systematic Review and Initial Data from a Multinational Online Survey

Schneider¹,

Kowallik²,

Schweinberger³

et al. 2021

Preprint

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Background: Since COVID-19 has become pandemic, everyday life has seen dramatic changes affecting individuals, families, and children with and without autism. These entail, among other things, more time at home, digital forms of communication, school closures, and reduced support and intervention. Aim: Here we aim to systematically assess the effects of the pandemic on autistic and neurotypical (NT) children, and pursue a pre-registered hypothesis suggested by initial observations that some children with autism might respond comparatively well to a situation of constrained, predictable, and digital social communication during the pandemic. Methods: We provide a systematic review of current relevant work, including 76 papers selected from a database search until February 1, 2021. We then report survey data from several countries assessing activities, well-being (PedsQLTM), and social life in families with autism, and their respective change at various stages of the pandemic. We focus on differences between children with and without autism from within the same families, and on different outcomes for children with high- or low-functioning autism. Results: While children with autism scored lower in emotional and social functioning than their NT siblings, comparable decreases in well-being and increases in anxiety were seen for both groups, compared to before the pandemic. By contrast, decreases in adaptability were significantly more pronounced in autistic than NT children. Preliminary results suggest that changes were comparable for children with high- and low-functional autism overall, but individual differences prevail. Conclusions: Overall, although individual families do report some positive effects of pandemic restrictions, our data give no clear evidence that these generalize across children with autism, or even just to children with high-functioning autism. We discuss significant challenges for children with and without autism that need to be addressed to protect childrens’ well-being under pandemic conditions but also point to potential in the present situation that could be used towards social participation and success in older children and young adults with autism.

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Section: Pandemic Effects On Individuals With Autism: Moderating Effects Of Additional Intellectual Disability and Other Developmental DImentioning

confidence: 99%

Psychosocial and Behavioural Effects of the COVID-19 Pandemic on Children with Autism and their Families: A Systematic Review and Initial Data from a Multinational Online Survey

Schneider¹,

Kowallik²,

Schweinberger³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are three studies (literature reviews) that we follow in our study [7][8][9]. In the study by Kowallik A. E. and Schweinberger S. R. [7], the authors review papers related to sensor-based social information processing. They focus on studies that use sensors to identify (diagnose) autism and to support intervention.…”

Section: Introductionmentioning

confidence: 99%

Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

Landowska

Karpus

Zawadzka

et al. 2022

Sensors

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The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities are used in the analyzed studies, including facial expressions, prosody of speech, and physiological signals. Regarding representation models, the basic emotions are the most frequently recognized, especially happiness, fear, and sadness. Both single-channel and multichannel approaches are applied, with a preference for the first one. For multimodal recognition, early fusion was the most frequently applied. SVM and neural networks were the most popular for building classifiers. Qualitative analysis revealed important clues on participant group construction and the most common combinations of modalities and methods. All channels are reported to be prone to some disturbance, and as a result, information on a specific symptoms of emotions might be temporarily or permanently unavailable. The challenges of proper stimuli, labelling methods, and the creation of open datasets were also identified.

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“…These can be used for automatic facial emotion recognition (e.g., Pham et al 2019 ) but also for assessing similarity between facial behaviors, which made it a valuable toolkit for our study. Computer vision approaches have also been applied to the detection of autistic traits and behaviors (see review Kowallik and Schweinberger 2019 ). For example, computer vision-based applications enabled checking expression production skills of basic emotions in children with ASC and providing automatic feedback ( Leo et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Facial Imitation Improves Emotion Recognition in Adults with Different Levels of Sub-Clinical Autistic Traits

2021

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We used computer-based automatic expression analysis to investigate the impact of imitation on facial emotion recognition with a baseline-intervention-retest design. The participants: 55 young adults with varying degrees of autistic traits, completed an emotion recognition task with images of faces displaying one of six basic emotional expressions. This task was then repeated with instructions to imitate the expressions. During the experiment, a camera captured the participants’ faces for an automatic evaluation of their imitation performance. The instruction to imitate enhanced imitation performance as well as emotion recognition. Of relevance, emotion recognition improvements in the imitation block were larger in people with higher levels of autistic traits, whereas imitation enhancements were independent of autistic traits. The finding that an imitation instruction improves emotion recognition, and that imitation is a positive within-participant predictor of recognition accuracy in the imitation block supports the idea of a link between motor expression and perception in the processing of emotions, which might be mediated by the mirror neuron system. However, because there was no evidence that people with higher autistic traits differ in their imitative behavior per se, their disproportional emotion recognition benefits could have arisen from indirect effects of imitation instructions

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Sensor-Based Technology for Social Information Processing in Autism: A Review

Cited by 17 publications

References 88 publications

Psychosocial and Behavioural Effects of the COVID-19 Pandemic on Children with Autism and their Families: A Systematic Review and Initial Data from a Multinational Online Survey

Psychosocial and Behavioural Effects of the COVID-19 Pandemic on Children with Autism and their Families: A Systematic Review and Initial Data from a Multinational Online Survey

Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

Facial Imitation Improves Emotion Recognition in Adults with Different Levels of Sub-Clinical Autistic Traits

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