Acceptability of the Transitional Wearable Companion “+me” in Children With Autism Spectrum Disorder: A Comparative Pilot Study

Sperati, Valerio; Özcan, Beste; Romano, Laura; Moretta, Tania; Scaffaro, Simone; Faedda, Noemi; Turturo, Giada; Fioriello, Francesca; Pelosi, Simone; Giovannone, Federica; Sogos, Carla; Guidetti, Vincenzo; Baldassarre, Gianluca

doi:10.3389/fpsyg.2020.00951

Cited by 8 publications

(2 citation statements)

References 60 publications

(65 reference statements)

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“…The data used for training and testing the proposed solution are videos of therapy sessions for children with ASD. It was provided by the european project PlusMe (https://www.plusme-h2020.eu/) as supplementary material published in [Sperati et al 2020].…”

Section: Datasetmentioning

confidence: 99%

Event detection in therapy sessions for children with Autism

Soares

Carvalho

Ribeiro

et al. 2023

Anais Do XIV Computer on the Beach - COTB'23

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Autism spectrum disorder (ASD) impacts communication and cognitivedevelopment of children and adults, has aworldwide prevalenceof 1% on children and affects not only the people with this disorder,but also their family and the surrounding community. In the familycircle, individuals on the spectrum require greater support and attentionrelative to its cognitive capacity, impacting the mental andemotional health and even the financial life of families. The lack ofinfrastructure, professionals, and public health policies to deal withASD is a known problem, specially in low income countries. Tomitigate this issue, computer-aided ASD diagnosis and treatmentrepresent a powerful ally, reducing the workload of professionalsand allowing a better overall therapeutic experience. This paperintends to investigate how machine learning techniques can helpspecialists by providing an automated analysis of ASD recordedtherapy sessions. The proposed solution is capable of handling largeamounts of video data, filtering out irrelevant frames and keepingonly relevant scenes for posterior analysis. Our results show thatthe proposed solution is capable of reducing manual checks by upto 51.4%, which represents a significant workload reduction forhealth experts. This solution will hopefully provide researchers,therapists and specialists with a tool that assists the automatedidentification of features and events of interest in video-recordedtherapy sessions, reducing the amount of time spent on this task.

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Section: Datasetmentioning

confidence: 99%

Event detection in therapy sessions for children with Autism

Soares

Carvalho

Ribeiro

et al. 2023

Anais Do XIV Computer on the Beach - COTB'23

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“…1). The concept of TWC -as a potential supporting tool in therapyis currently in a promising experimentation phase on young children diagnosed with ASD [11].…”

Section: Design Considerationsmentioning

confidence: 99%

“X-8”: An Experimental Interactive Toy to Support Turn-Taking Games in Children with Autism Spectrum Disorders

Özcan

Sperati

Giocondo

et al. 2021

Communications in Computer and Information Science

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Turn-taking is a type of interaction where two individuals alternate a behaviour (e.g. during a conversation). Such competence – which is a foundamental key in the social behaviour – is often compromised in children with Autism Spectrum Disorders (ASDs). Neurodevelopmental therapists report how it is extremely difficult to teach this skill to young ASDs, yet it would be very important. In the current proposal we present an early prototype of interactive toy called X-8: it is a soft, wearable, six-legged octopus able to distinguish between two people, and produce different luminous patterns according to the user who is touching it. The toy can then potentially support therapists in set up sensory-motor games based on turn-taking rules. A first proof of concept is described and possible activities are proposed.

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