2016
DOI: 10.1007/978-3-319-40355-7_18
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Mobile Devices as Assistive Technologies for ASD: Experiences in the Classroom

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Cited by 9 publications
(5 citation statements)
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“…For many years, research has been focused mostly on young children, school-age children (Hurlbutt & Chalmers, 2004) or on young adults in their 20s and 30s, so the majority of support systems and intervention programs available focus on early intervention for individuals on the autism spectrum (Neely & Hunter, 2014; Stevenson & Correa, 2018). As a result, a system of electronic sensors network to measure physiological parameters associated with emotional state changes for fostering behavioral therapy of children with ASD was developed (Jȩdrzejewska-Szczerska, Karpienko, & Landowska, 2015; Landowska et al, 2014) and also other solutions supporting children with ASD in the classroom (Fage et al, 2018; Roldán-Álvarez et al, 2016) or during typical routines (Alabbas & Miller, 2019). People with ASD in mid-to-late adulthood were neglected as a research subject (Edwards et al, 2012; Howlin & Moss, 2012), especially considering the labor activity perspective and there is almost no research examining the position of tech workers with ASD (Morris et al, 2015).…”
Section: Challenges For the Future And Possible Implementationsmentioning
confidence: 99%
“…For many years, research has been focused mostly on young children, school-age children (Hurlbutt & Chalmers, 2004) or on young adults in their 20s and 30s, so the majority of support systems and intervention programs available focus on early intervention for individuals on the autism spectrum (Neely & Hunter, 2014; Stevenson & Correa, 2018). As a result, a system of electronic sensors network to measure physiological parameters associated with emotional state changes for fostering behavioral therapy of children with ASD was developed (Jȩdrzejewska-Szczerska, Karpienko, & Landowska, 2015; Landowska et al, 2014) and also other solutions supporting children with ASD in the classroom (Fage et al, 2018; Roldán-Álvarez et al, 2016) or during typical routines (Alabbas & Miller, 2019). People with ASD in mid-to-late adulthood were neglected as a research subject (Edwards et al, 2012; Howlin & Moss, 2012), especially considering the labor activity perspective and there is almost no research examining the position of tech workers with ASD (Morris et al, 2015).…”
Section: Challenges For the Future And Possible Implementationsmentioning
confidence: 99%
“…First, an initial prototype of the system was evaluated with people in the midst of rehabilitation for brain injury [32]. After improving the prototype and discussing it with other experts in other domains (special education teachers, job insertion experts and therapists), the improved version was tested with people with IDs who were likely to be recruited for jobs [33]- [35] . These people are usually educated in labour centres, where special education teachers and labour tutors train them in several skills, adapted to their profiles.…”
Section: A Smartphone App For the Micro-prompting In Daily-life Tasksmentioning
confidence: 99%
“…From that experience, the research team decided to test the idea of prompting information to carry out daily life activities through smartphones with other groups that might benefit from it (people with intellectual disabilities, such as Down syndrome, ASDs and other disabilities). Thus, aQRdate was evolved into AssisT-TASK [33]- [35]. This step was supported by experts from different areas, such as labour trainers, therapists, and special education teachers.…”
Section: F System Integrationmentioning
confidence: 99%
“…This paper presents a package of information and communications technology (ICT) and mobile assistive and cognitive rehabilitation applications to support the inclusion of people with ASD [22]. Research results showed that children with ASD who used apps improved their social responsiveness in the school environment [1,19]. iJOE | Vol.…”
Section: Introductionmentioning
confidence: 99%