85 research outputs found

    Human-Centered Design with Autistic University Students: Interface, Interaction and Information Preferences

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    This paper reports on a study aimed at creating an online support toolkit for young autistic people to navigate the transition from school to university, thereby empowering this group in developing their full potential. It is part of the Autism&Uni project, a European-funded initiative to widen access to Higher Education for students on the autism spectrum. Our particular focus is on the Human-Computer Interaction elements of the toolkit, namely the visual design of the interface, the nature of interactions and navigation, and the information architecture. Past research in this area tended to focus on autistic children, often with learning difficulties, and their preferences in terms of interface and interaction design. Our research revealed that the preferences of young autistic adults who are academically competent and articulate, differ considerably from those of autistic children. Key findings are that text is preferred over visual material; visual design should be minimal; content ought to be organized in a logical and hierarchical manner; the tone of language ought to be genuine yet not too negative or patronizing; and images or video are only useful if they illustrate places or people, in other words information that cannot easily be conveyed in other ways

    GOLIAH (Gaming Open Library for Intervention in Autism at Home): a 6-month single blind matched controlled exploratory study

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    BackgroundTo meet the required hours of intensive intervention for treating children with autism spectrum disorder (ASD), we developed an automated serious gaming platform (11 games) to deliver intervention at home (GOLIAH) by mapping the imitation and joint attention (JA) subset of age-adapted stimuli from the Early Start Denver Model (ESDM) intervention. Here, we report the results of a 6-month matched controlled exploratory study.MethodsFrom two specialized clinics, we included 14 children (age range 5–8 years) with ASD and 10 controls matched for gender, age, sites, and treatment as usual (TAU). Participants from the experimental group received in addition to TAU four 30-min sessions with GOLIAH per week at home and one at hospital for 6 months. Statistics were performed using Linear Mixed Models.ResultsChildren and parents participated in 40% of the planned sessions. They were able to use the 11 games, and participants trained with GOLIAH improved time to perform the task in most JA games and imitation scores in most imitation games. GOLIAH intervention did not affect Parental Stress Index scores. At end-point, we found in both groups a significant improvement for Autism Diagnostic Observation Schedule scores, Vineland socialization score, Parental Stress Index total score, and Child Behavior Checklist internalizing, externalizing and total problems. However, we found no significant change for by time × group interaction.ConclusionsDespite the lack of superiority of TAU + GOLIAH versus TAU, the results are interesting both in terms of changes by using the gaming platform and lack of parental stress increase. A large randomized controlled trial with younger participants (who are the core target of ESDM model) is now discussed. This should be facilitated by computing GOLIAH for a web platform.Trial registration Clinicaltrials.gov NCT0256041

    Mapping Robots to Therapy and Educational Objectives for Children with Autism Spectrum Disorder

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    The aim of this study was to increase knowledge on therapy and educational objectives professionals work on with children with autism spectrum disorder (ASD) and to identify corresponding state of the art robots. Focus group sessions (n = 9) with ASD professionals (n = 53) from nine organisations were carried out to create an objectives overview, followed by a systematic literature study to identify state of the art robots matching these objectives. Professionals identified many ASD objectives (n = 74) in 9 different domains. State of the art robots addressed 24 of these objectives in 8 domains. Robots can potentially be applied to a large scope of objectives for children with ASD. This objectives overview functions as a base to guide development of robot interventions for these children
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