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A User-Centred Methodology for the Development of Computer-Based Assistive Technologies for Individuals with Autism

  • Raquel HervásEmail author
  • Virginia Francisco
  • Gonzalo Méndez
  • Susana Bautista
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11746)

Abstract

The design and development of computer assistive technologies must be tied to the needs and goals of end users and must take into account their capabilities and preferences. In this paper, we present MeDeC@, a Methodology for the Development of Computer Assistive Technologies for people with Autism Spectrum Disorders (ASD), which relies heavily in our experience working with end users with ASD. The aim of this methodology is not to design for a broad group of users, but to design highly customizable tools so that they can be easily adapted to specific situations and small user groups. We also present two applications developed using MeDeC@ in order to test its suitability: EmoTraductor, a web application for emotion recognition for people with Asperger Syndrome, and ReadIt, a web browser plug-in to help people with ASD with written language understanding difficulties to navigate the Internet. The results of our evaluation with end users show that the use of MeDeC@ helps developers to successfully design computer assistive technologies taking into account the special requirements and scenarios that arise when developing this kind of assistive applications.

Keywords

Computer assistive technologies Interactive systems Autism Spectrum Disorder Asperger Syndrome User-Centered Design 

Notes

Acknowledgements

The work presented in this paper has been partially funded by the projects IDiLyCo: Digital Inclusion, Language and Communication, Grant. No. TIN2015-66655-R (MINECO/FEDER) and InVITAR-IA: Infraestructuras para la Visibilización, Integración y Transferencia de Aplicaciones y Resultados de Inteligencia Artificial, UCM Grant. No. FEI-EU-17-23. The authors want to thank Lorena Jiménez, Paloma Gutiérrez, Elena Kaloyanova and Gema Eugercios for their work in the implementation of the presented case studies.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Raquel Hervás
    • 1
    Email author
  • Virginia Francisco
    • 1
  • Gonzalo Méndez
    • 2
  • Susana Bautista
    • 3
  1. 1.Facultad de InformáticaUniversidad Complutense de MadridMadridSpain
  2. 2.Instituto de Tecnología del Conocimiento (UCM)MadridSpain
  3. 3.Escuela PolitécnicaUniversidad Francisco de VitoriaPozuelo de AlarcónSpain

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